{
  "results": [
    {
      "id": "1513302e8645c47465166996ab77a763",
      "title": "Public Sector Partner SA - OpenAI , WWPS Global ISV Partners",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Arlington, Virginia, USA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 153600,
      "salary_max": 207800,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 153600,
      "base_salary_max": 207800,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-09T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Public Sector Partner SA - OpenAI , WWPS Global ISV Partners Arlington, Virginia, USA Amazon Web Services (AWS) is seeking an experienced Applied AI Solutions Architect to serve as the dedicated technical partner lead for OpenAI across the US public sector. In this role, you will work across federal civilian, defense, and intelligence community agencies - partnering with OpenAI, systems integrators, and internal AWS teams to design, prototype, and deploy generative AI solutions in regulated and classified environments. This is not a traditional SA role. We are looking for someone with the hands-on instincts of a forward-deployed AI engineer - someone who can rapidly prototype, evangelize emerging capabilities, publish reference architectures, and speak credibly with both developers writing code and executives making mission decisions. The pace of AI demands a builder who can keep up. This position requires that the candidate selected be a US Citizen and obtain and maintain an active Secret security clearance. Key job responsibilities • Serve as the primary AWS technical interface to OpenAI for all US public sector engagements, covering GovCloud, AWS Dedicated Clouds (ADCs), and commercial regions supporting government workloads. • Rapidly prototype and demonstrate OpenAI-on-AWS solutions for government customers - including RAG architectures, agentic workflows, fine-tuning pipelines, and multi-modal AI deployments on Amazon Bedrock and self-hosted infrastructure. • Architect AI solutions that meet the security, compliance, and data sovereignty requirements of US Government customers (FedRAMP High, IL4/5/6, ITAR, CMMC). • Publish reference architectures, blog posts, code samples, and technical content that accelerate partner",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 56,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "security_clearance": {
          "field": "security_clearance",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "security_clearance"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "us_citizenship_required": {
          "field": "us_citizenship_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "us_citizenship_required"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": true,
      "security_clearance": "secret",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7e5a15ec1bf9f9161d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "1513302e8645c47465166996ab77a763",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Public Sector Partner SA - OpenAI , WWPS Global ISV Partners Arlington, Virginia, USA Amazon Web Services (AWS) is seeking an experienced Applied AI Solutions Architect to serve as the dedicated technical partner lead for OpenAI across the US public sector. In this role, you will work across federal civilian, defense, and intelligence community agencies - partnering with OpenAI, systems integrators, and internal AWS teams to design, prototype, and deploy generative AI solutions in regulated and classified environments. This is not a traditional SA role. We are looking for someone with the hands-on instincts of a forward-deployed AI engineer - someone who can rapidly prototype, evangelize emerging capabilities, publish reference architectures, and speak credibly with both developers writing code and executives making mission decisions. The pace of AI demands a builder who can keep up. This position requires that the candidate selected be a US Citizen and obtain and maintain an active Secret security clearance. Key job responsibilities • Serve as the primary AWS technical interface to OpenAI for all US public sector engagements, covering GovCloud, AWS Dedicated Clouds (ADCs), and commercial regions supporting government workloads. • Rapidly prototype and demonstrate OpenAI-on-AWS solutions for government customers - including RAG architectures, agentic workflows, fine-tuning pipelines, and multi-modal AI deployments on Amazon Bedrock and self-hosted infrastructure. • Architect AI solutions that meet the security, compliance, and data sovereignty requirements of US Government customers (FedRAMP High, IL4/5/6, ITAR, CMMC). • Publish reference architectures, blog posts, code samples, and technical content that accelerate partner",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:1513302e8645c47465166996ab77a763:description:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.f19536962d31e0dd49",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "1513302e8645c47465166996ab77a763",
          "signal_type": "query_match",
          "display_text": "Title: \"openai\"",
          "tooltip": "Title matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Public Sector Partner SA - OpenAI , WWPS Global ISV Partners",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:1513302e8645c47465166996ab77a763:title:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.39ac8d906136b59cdf",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "1513302e8645c47465166996ab77a763",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Public Sector Partner SA - OpenAI , WWPS Global ISV Partners",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:818dd3db19f3f07ebe3b2f50",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.7a34f836f99fbec31a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "1513302e8645c47465166996ab77a763",
          "signal_type": "query_match",
          "display_text": "Title: \"openai\"",
          "tooltip": "Title contains \"openai\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Public Sector Partner SA - OpenAI , WWPS Global ISV Partners",
          "matched_input": "openai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.0674927045e0599406",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "1513302e8645c47465166996ab77a763",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:1513302e8645c47465166996ab77a763:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.b374d753ff1e4da14f",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "1513302e8645c47465166996ab77a763",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.a37ea19a34de143220",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10443817/public-sector-partner-sa-openai-wwps-global-isv-partners",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "8366c5e47b5aa26df600e3daa2a521af",
      "title": "Machine Learning Architect 5 - GenAI Experiences",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Architect---GenAI-Experiences_R165213",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Architect 5 - GenAI Experiences 2 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.68966a50f9d238d7f0",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8366c5e47b5aa26df600e3daa2a521af",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Machine Learning Architect 5 - GenAI Experiences",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:d827f1bbfc5921ccfa6b02a7",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.c1c96afcee33d7beef",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8366c5e47b5aa26df600e3daa2a521af",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:8366c5e47b5aa26df600e3daa2a521af:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.1d11a04cf601ad1dc2",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8366c5e47b5aa26df600e3daa2a521af",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.daf2c935924884a5ca",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Architect---GenAI-Experiences_R165213",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Architect---GenAI-Experiences_R165213",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Architect---GenAI-Experiences_R165213",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Architect---GenAI-Experiences_R165213",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "411f39f2b1a15619db57b59acc56fc42",
      "title": "Frontier AI Partner Development Manager, Korea Partner Orgaznization",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Seoul, KOR",
      "country": "KR",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-02T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10436490/frontier-ai-partner-development-manager-korea-partner-orgaznization",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Frontier AI Partner Development Manager, Korea Partner Orgaznization Seoul, KOR Amazon Web Services (AWS) is looking for a world-class partner and alliance builder to join the Korea Partner Team as a Principal Partner Development Manager (PDM) for Frontier AI. In this role, you will have the exciting opportunity to establish and scale frontier AI partnerships that drive AWS cloud adoption across Korea. You will lead the end-to-end go-to-market strategy with frontier AI model partners-including Anthropic and OpenAI-and drive customer adoption at scale during a critical growth window. Establishing frontier AI-powered architectures and solutions on Bedrock is strategically important for our customers. You will have the opportunity to establish our GTM motion and capture unprecedented growth during this unique window. Key job responsibilities Lead strategic relationship management for frontier AI partners, contributing to partner business planning and driving mutual accountability for capability development. Actively contribute to top frontier AI deals through technical validation, partner orchestration, and executive engagement. Conduct regular partner pipeline and revenue performance reviews, providing data-driven recommendations to accelerate opportunity progression. Own the design and delivery of frontier AI partner enablement programs, ensuring partners develop comprehensive go-to-market capabilities. Establish systematic collaboration with specialist sales teams on strategic frontier AI initiatives. Serve as the expert voice on frontier AI partner strategy and market dynamics for Korea. A day in the life • Align with AI specialist sales teams on top AI partner deals, removing blockers and matching the right partners to customer opportunities • Review partner pipeline health and provide",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "principal",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.108216f703506c2bf8",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "411f39f2b1a15619db57b59acc56fc42",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Frontier AI Partner Development Manager, Korea Partner Orgaznization Seoul, KOR Amazon Web Services (AWS) is looking for a world-class partner and alliance builder to join the Korea Partner Team as a Principal Partner Development Manager (PDM) for Frontier AI. In this role, you will have the exciting opportunity to establish and scale frontier AI partnerships that drive AWS cloud adoption across Korea. You will lead the end-to-end go-to-market strategy with frontier AI model partners-including Anthropic and OpenAI-and drive customer adoption at scale during a critical growth window. Establishing frontier AI-powered architectures and solutions on Bedrock is strategically important for our customers. You will have the opportunity to establish our GTM motion and capture unprecedented growth during this unique window. Key job responsibilities Lead strategic relationship management for frontier AI partners, contributing to partner business planning and driving mutual accountability for capability development. Actively contribute to top frontier AI deals through technical validation, partner orchestration, and executive engagement. Conduct regular partner pipeline and revenue performance reviews, providing data-driven recommendations to accelerate opportunity progression. Own the design and delivery of frontier AI partner enablement programs, ensuring partners develop comprehensive go-to-market capabilities. Establish systematic collaboration with specialist sales teams on strategic frontier AI initiatives. Serve as the expert voice on frontier AI partner strategy and market dynamics for Korea. A day in the life • Align with AI specialist sales teams on top AI partner deals, removing blockers and matching the right partners to customer opportunities • Review partner pipeline health and provide",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:411f39f2b1a15619db57b59acc56fc42:description:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.e2ea71100999a245fd",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "411f39f2b1a15619db57b59acc56fc42",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Frontier AI Partner Development Manager, Korea Partner Orgaznization Seoul, KOR Amazon Web Services (AWS) is looking for a world-class partner and alliance builder to join the Korea Partner Team as a Principal Partner Development Manager (PDM) for Frontier AI. In this role, you will have the exciting opportunity to establish and scale frontier AI partnerships that drive AWS cloud adoption across Korea. You will lead the end-to-end go-to-market strategy with frontier AI model partners-including Anthropic and OpenAI-and drive customer adoption at scale during a critical growth window. Establishing frontier AI-powered architectures and solutions on Bedrock is strategically important for our customers. You will have the opportunity to establish our GTM motion and capture unprecedented growth during this unique window. Key job responsibilities Lead strategic relationship management for frontier AI partners, contributing to partner business planning and driving mutual accountability for capability development. Actively contribute to top frontier AI deals through technical validation, partner orchestration, and executive engagement. Conduct regular partner pipeline and revenue performance reviews, providing data-driven recommendations to accelerate opportunity progression. Own the design and delivery of frontier AI partner enablement programs, ensuring partners develop comprehensive go-to-market capabilities. Establish systematic collaboration with specialist sales teams on strategic frontier AI initiatives. Serve as the expert voice on frontier AI partner strategy and market dynamics for Korea. A day in the life • Align with AI specialist sales teams on top AI partner deals, removing blockers and matching the right partners to customer opportunities • Review partner pipeline health and provide",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:152656c2d947ac0b6ff765a3",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7df577b13f0f3ab3ba",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "411f39f2b1a15619db57b59acc56fc42",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description contains \"openai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Frontier AI Partner Development Manager, Korea Partner Orgaznization Seoul, KOR Amazon Web Services (AWS) is looking for a world-class partner and alliance builder to join the Korea Partner Team as a Principal Partner Development Manager (PDM) for Frontier AI. In this role, you will have the exciting opportunity to establish and scale frontier AI partnerships that drive AWS cloud adoption across Korea. You will lead the end-to-end go-to-market strategy with frontier AI model partners-including Anthropic and OpenAI-and drive customer adoption at scale during a critical growth window. Establishing frontier AI-powered architectures and solutions on Bedrock is strategically important for our customers. You will have the opportunity to establish our GTM motion and capture unprecedented growth during this unique window. Key job responsibilities Lead strategic relationship management for frontier AI partners, contributing to partner business planning and driving mutual accountability for capability development. Actively contribute to top frontier AI deals through technical validation, partner orchestration, and executive engagement. Conduct regular partner pipeline and revenue performance reviews, providing data-driven recommendations to accelerate opportunity progression. Own the design and delivery of frontier AI partner enablement programs, ensuring partners develop comprehensive go-to-market capabilities. Establish systematic collaboration with specialist sales teams on strategic frontier AI initiatives. Serve as the expert voice on frontier AI partner strategy and market dynamics for Korea. A day in the life • Align with AI specialist sales teams on top AI partner deals, removing blockers and matching the right partners to customer opportunities • Review partner pipeline health and provide",
          "matched_input": "openai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.1bc34aaf420e2a7d1e",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "411f39f2b1a15619db57b59acc56fc42",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.58cbacbca04cf90f98",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436490/frontier-ai-partner-development-manager-korea-partner-orgaznization",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436490/frontier-ai-partner-development-manager-korea-partner-orgaznization",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436490/frontier-ai-partner-development-manager-korea-partner-orgaznization",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436490/frontier-ai-partner-development-manager-korea-partner-orgaznization",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436490/frontier-ai-partner-development-manager-korea-partner-orgaznization",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436490/frontier-ai-partner-development-manager-korea-partner-orgaznization",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436490/frontier-ai-partner-development-manager-korea-partner-orgaznization",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436490/frontier-ai-partner-development-manager-korea-partner-orgaznization",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "b481e385a71e43b0aa8a3f2cef7c6f77",
      "title": "Software Engineer II, AI Platform",
      "employer_name": "Samsara",
      "employer_slug": "samsara",
      "location_text": "Remote - CA",
      "country": "unknown",
      "employment_type": "contract",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": 113645,
      "salary_max": 171900,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 113645,
      "base_salary_max": 171900,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": true,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer II, AI Platform Remote - CA Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara's Revenue Operations AI & Data Team is building the future of how we go to market - with intelligence, personalization, and speed. We're a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message - and to put everything they need at their fingertips, whether that's data from Salesforce, context from a past call, or content that wins",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.samsara.com/company/careers/benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.samsara.com/company/careers/benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.samsara.com/company/careers/benefits"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "learning_budget_offered": {
          "field": "learning_budget_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "learning_budget_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.0cebab370d9de63c5e",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "b481e385a71e43b0aa8a3f2cef7c6f77",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Software Engineer II, AI Platform",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:015f8bc28bde672d36d52949",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.c9e11160ce99f19ffc",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "b481e385a71e43b0aa8a3f2cef7c6f77",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.31bb4699253d5517da",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "https://www.samsara.com/company/careers/benefits"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "learning_budget_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7619925?gh_jid=7619925",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "dc93ac295b27f1c3fd94dbf92f0e8f65",
      "title": "AI Engineer",
      "employer_name": "Samsara",
      "employer_slug": "samsara",
      "location_text": "Remote - US",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 101745,
      "salary_max": 171000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 101745,
      "base_salary_max": 171000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": true,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer Remote - US Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Do you get excited about creating high-impact AI applications that employees rely on every day? Samsara's Integrations, Data Engineering, and AI (IDEA) team is a key part of Samsara's Business Technology organization, driving innovation through data and AI. Our mission is to empower and enable everyone at Samsara with AI-powered tools and capabilities so they can get their work done more effectively. We bridge technology, innovation, and business needs to infuse AI-powered solutions into our organization. We are looking for a hands-on AI Engineer",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.samsara.com/company/careers/benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.samsara.com/company/careers/benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.samsara.com/company/careers/benefits"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "learning_budget_offered": {
          "field": "learning_budget_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "learning_budget_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.95238de6d1b565b388",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "dc93ac295b27f1c3fd94dbf92f0e8f65",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:c23c0b509d8dc207a10da179",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.b2296d2bcea19d0229",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "dc93ac295b27f1c3fd94dbf92f0e8f65",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.94c90779bb68ee9e60",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "https://www.samsara.com/company/careers/benefits"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "learning_budget_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "dc93ac295b27f1c3fd94dbf92f0e8f65",
      "title": "AI Engineer",
      "employer_name": "Samsara",
      "employer_slug": "samsara",
      "location_text": "Remote - US",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 101745,
      "salary_max": 171000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 101745,
      "base_salary_max": 171000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": true,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer Remote - US Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Do you get excited about creating high-impact AI applications that employees rely on every day? Samsara's Integrations, Data Engineering, and AI (IDEA) team is a key part of Samsara's Business Technology organization, driving innovation through data and AI. Our mission is to empower and enable everyone at Samsara with AI-powered tools and capabilities so they can get their work done more effectively. We bridge technology, innovation, and business needs to infuse AI-powered solutions into our organization. We are looking for a hands-on AI Engineer",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.samsara.com/company/careers/benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.samsara.com/company/careers/benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.samsara.com/company/careers/benefits"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "learning_budget_offered": {
          "field": "learning_budget_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "learning_budget_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.b85f0b0464db96d340",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "dc93ac295b27f1c3fd94dbf92f0e8f65",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:95d2ed243e337273389a856b",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.b2296d2bcea19d0229",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "dc93ac295b27f1c3fd94dbf92f0e8f65",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.94c90779bb68ee9e60",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "https://www.samsara.com/company/careers/benefits"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "learning_budget_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7491153?gh_jid=7491153",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "9234db0704c55f60916ecac23406a045",
      "title": "Senior Software Engineer, AI Platform",
      "employer_name": "Samsara",
      "employer_slug": "samsara",
      "location_text": "Remote - CA",
      "country": "unknown",
      "employment_type": "contract",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": 130900,
      "salary_max": 198000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 130900,
      "base_salary_max": 198000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": true,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, AI Platform Remote - CA Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara's Revenue Operations AI & Data Team is building the future of how we go to market - with intelligence, personalization, and speed. We're a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message - and to put everything they need at their fingertips, whether that's data from Salesforce, context from a past call, or content that wins",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.samsara.com/company/careers/benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.samsara.com/company/careers/benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.samsara.com/company/careers/benefits"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "learning_budget_offered": {
          "field": "learning_budget_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "learning_budget_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 6,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.23b389365e31ab97ab",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "9234db0704c55f60916ecac23406a045",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Software Engineer, AI Platform",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:2e64c07536e1fc62ec046bce",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.06d3c8f9503cae9695",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "9234db0704c55f60916ecac23406a045",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.50cc59cce381447ec6",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "https://www.samsara.com/company/careers/benefits"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "learning_budget_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266719?gh_jid=7266719",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "486aeffb411954a09d0a7219c5b0e578",
      "title": "Senior Agentic AI Engineer",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "Yerevan",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Yerevan/Senior-Agentic-AI-Engineer_R165482",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.dd80d7614565861138",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "486aeffb411954a09d0a7219c5b0e578",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Agentic AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:9f0bbfb74109d51b04d77d6f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.1ffce085965fba8fa8",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "486aeffb411954a09d0a7219c5b0e578",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:486aeffb411954a09d0a7219c5b0e578:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.c44c42f8d9c2ecc356",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "486aeffb411954a09d0a7219c5b0e578",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.4d93ab6b4551fb5c42",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Yerevan/Senior-Agentic-AI-Engineer_R165482",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Yerevan/Senior-Agentic-AI-Engineer_R165482",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Yerevan/Senior-Agentic-AI-Engineer_R165482",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Yerevan/Senior-Agentic-AI-Engineer_R165482",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "5cd2ab46b782a3ba23b7c586a5d2aea4",
      "title": "Senior AI Engineer, Platform",
      "employer_name": "Samsara",
      "employer_slug": "samsara",
      "location_text": "Remote - CA",
      "country": "unknown",
      "employment_type": "full_time",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": 127330,
      "salary_max": 214000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 127330,
      "base_salary_max": 214000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": true,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer, Platform Remote - CA Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara's Revenue Operations AI & Data Team is building the future of how we go to market - with intelligence, personalization, and speed. We're a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message - and to put everything they need at their fingertips, whether that's data from Salesforce, context from a past call, or content that wins deals.",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.samsara.com/company/careers/benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.samsara.com/company/careers/benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.samsara.com/company/careers/benefits"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "learning_budget_offered": {
          "field": "learning_budget_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "learning_budget_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.606bd6da45aee4f94f",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5cd2ab46b782a3ba23b7c586a5d2aea4",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior AI Engineer, Platform",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:2d996dd91c1e11aacb519b82",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.1f7eaa8177c9942046",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5cd2ab46b782a3ba23b7c586a5d2aea4",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.c74ef7525827a14ba0",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "https://www.samsara.com/company/careers/benefits"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "learning_budget_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7618581?gh_jid=7618581",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "7f813c75279d29a88a787aed3d219e21",
      "title": "Applied AI - Machine Learning Engineer",
      "employer_name": "Amgen",
      "employer_slug": "amgen",
      "location_text": "India - Hyderabad",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Applied-AI---Machine-Learning-Engineer_R-240253",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI - Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.8c41861b6914287c65",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7f813c75279d29a88a787aed3d219e21",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Applied AI - Machine Learning Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:abf4d2ddef12f2ac66f613f4",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.22ae6a1c99c603da23",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7f813c75279d29a88a787aed3d219e21",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:7f813c75279d29a88a787aed3d219e21:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.507351b38c2f0bf6da",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7f813c75279d29a88a787aed3d219e21",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.5ab658e08d225de658",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Applied-AI---Machine-Learning-Engineer_R-240253",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Applied-AI---Machine-Learning-Engineer_R-240253",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Applied-AI---Machine-Learning-Engineer_R-240253",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Applied-AI---Machine-Learning-Engineer_R-240253",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "05824d1ec81bc2fe4eed9c35cd1ff373",
      "title": "Forward Deployed AI Engineer",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "Tokyo",
      "country": "JP",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Tokyo/Forward-Deployed-AI-Engineer_R164040",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Forward Deployed AI Engineer Tokyo posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.b2f494e8a376beb572",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "05824d1ec81bc2fe4eed9c35cd1ff373",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Forward Deployed AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:bb2ecb5dab3215efabd76bd1",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.e709b7941eccc67caf",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "05824d1ec81bc2fe4eed9c35cd1ff373",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:05824d1ec81bc2fe4eed9c35cd1ff373:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.37a32d5657aa5abd4c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "05824d1ec81bc2fe4eed9c35cd1ff373",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.28d435f89dd3dbcea5",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Tokyo/Forward-Deployed-AI-Engineer_R164040",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Tokyo/Forward-Deployed-AI-Engineer_R164040",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Tokyo/Forward-Deployed-AI-Engineer_R164040",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Tokyo/Forward-Deployed-AI-Engineer_R164040",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "e590080482e60942c1bd1dd2e9ce4a32",
      "title": "AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00296626",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Today",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.ab902bab7b9a7b9791",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "e590080482e60942c1bd1dd2e9ce4a32",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:29c0a4ccfae93f5584b40b42",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.02a251c0f876c38636",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "e590080482e60942c1bd1dd2e9ce4a32",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:e590080482e60942c1bd1dd2e9ce4a32:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.28eba4aeb25d6c9ff3",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "e590080482e60942c1bd1dd2e9ce4a32",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.5963fc734c033ca238",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00296626",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00296626",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00296626",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00296626",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "5f670f5e245381e1d9f0f5e41dbf5d44",
      "title": "AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-04T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00293451",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 8 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.4939799b35002c7e68",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5f670f5e245381e1d9f0f5e41dbf5d44",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:98adc52848c9419b50024b96",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.4bbdb8aef84bb62341",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5f670f5e245381e1d9f0f5e41dbf5d44",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:5f670f5e245381e1d9f0f5e41dbf5d44:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.f50ae71345d81dbe72",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5f670f5e245381e1d9f0f5e41dbf5d44",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.73305cc0c606df44f5",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00293451",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00293451",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00293451",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00293451",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "a3a827dc8e2ffff19b3b0600e775a85e",
      "title": "Principal AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Principal-AI-Engineer_R00289629",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.0df732eb703b56a55b",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "a3a827dc8e2ffff19b3b0600e775a85e",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Principal AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:48d53518e61362b086705e11",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.1742610e859aed06c3",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "a3a827dc8e2ffff19b3b0600e775a85e",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:a3a827dc8e2ffff19b3b0600e775a85e:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.b465860aef382a270c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "a3a827dc8e2ffff19b3b0600e775a85e",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.1a82f4734f9efbdab3",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Principal-AI-Engineer_R00289629",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Principal-AI-Engineer_R00289629",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Principal-AI-Engineer_R00289629",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Principal-AI-Engineer_R00289629",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "9a2bf03530aebd0394ab6001e5e035da",
      "title": "AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-05T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00294882",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 7 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.820935f94f6c9620e7",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "9a2bf03530aebd0394ab6001e5e035da",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e8e264e35f97430b92abdeae",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.3c33bc7bd2fd88f84a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "9a2bf03530aebd0394ab6001e5e035da",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:9a2bf03530aebd0394ab6001e5e035da:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.7345f7079842f0e9c1",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "9a2bf03530aebd0394ab6001e5e035da",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.b5031a735ccf5085bc",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00294882",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00294882",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00294882",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer_R00294882",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "4c15198e2ab3cc904dfd2eb80f731a52",
      "title": "Lead/Principal Account SE, Strategic AI",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "California - San Francisco; Utah - Remote; Washington - Seattle; California - Remote; Washington - Remote; Arizona - Remote; California - Irvine; Colorado - Remote; Nevada - Remote; Oregon - Remote; Washington - Bellevue; Colorado - Denver",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 134750,
      "salary_max": 210910,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 134750,
      "base_salary_max": 210910,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-03T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead/Principal Account SE, Strategic AI California - San Francisco; Utah - Remote; Washington - Seattle; California - Remote; Washington - Remote; Arizona - Remote; California - Irvine; Colorado - Remote; Nevada - Remote; Oregon - Remote; Washington - Bellevue; Colorado - Denver We are hiring for the role of Lead or Principal Account Solution Engineer for OpenAI within our Strategic Technology segment. Overview Do you want to be part of an outstanding Solution Engineering team that works with and innovates alongside the world's top technology companies? Come join us! Through collaboration with customers and internal stakeholders, Account Solution Engineers develop thoughtful solutions that help clients with their biggest challenges. If you enjoy a fast-paced environment full of opportunities to build compelling solutions, then the Solution Engineering team is the place for you. For this role, the Account Solution Engineer must have extremely strong technical acumen across a broad swath of Salesforce solutions and deep expertise in Generative AI. This Solution Engineer will also need to demonstrate honed discovery expertise and the ability to take their discoveries and provide value quickly and holistically to their customers. We are looking for a high performing individual with a demonstrated track record of creativity in customer interactions and solution design, as well as a passion for Generative AI. Responsibilities Strategic Account Partnership : Serve as a main technical voice for your account team while working with one of the world's most sophisticated AI-native organizations. Build deep, trusted relationships with C-suite, engineering leadership, and technical",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 100,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "principal",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 4,
      "years_experience_max": 12,
      "role_function": "teaching_education",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b16c43911862639928",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "4c15198e2ab3cc904dfd2eb80f731a52",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead/Principal Account SE, Strategic AI California - San Francisco; Utah - Remote; Washington - Seattle; California - Remote; Washington - Remote; Arizona - Remote; California - Irvine; Colorado - Remote; Nevada - Remote; Oregon - Remote; Washington - Bellevue; Colorado - Denver We are hiring for the role of Lead or Principal Account Solution Engineer for OpenAI within our Strategic Technology segment. Overview Do you want to be part of an outstanding Solution Engineering team that works with and innovates alongside the world's top technology companies? Come join us! Through collaboration with customers and internal stakeholders, Account Solution Engineers develop thoughtful solutions that help clients with their biggest challenges. If you enjoy a fast-paced environment full of opportunities to build compelling solutions, then the Solution Engineering team is the place for you. For this role, the Account Solution Engineer must have extremely strong technical acumen across a broad swath of Salesforce solutions and deep expertise in Generative AI. This Solution Engineer will also need to demonstrate honed discovery expertise and the ability to take their discoveries and provide value quickly and holistically to their customers. We are looking for a high performing individual with a demonstrated track record of creativity in customer interactions and solution design, as well as a passion for Generative AI. Responsibilities Strategic Account Partnership : Serve as a main technical voice for your account team while working with one of the world's most sophisticated AI-native organizations. Build deep, trusted relationships with C-suite, engineering leadership, and technical",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:4c15198e2ab3cc904dfd2eb80f731a52:description:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.b478f907744a443ac7",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "4c15198e2ab3cc904dfd2eb80f731a52",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Lead/Principal Account SE, Strategic AI California - San Francisco; Utah - Remote; Washington - Seattle; California - Remote; Washington - Remote; Arizona - Remote; California - Irvine; Colorado - Remote; Nevada - Remote; Oregon - Remote; Washington - Bellevue; Colorado - Denver We are hiring for the role of Lead or Principal Account Solution Engineer for OpenAI within our Strategic Technology segment. Overview Do you want to be part of an outstanding Solution Engineering team that works with and innovates alongside the world's top technology companies? Come join us! Through collaboration with customers and internal stakeholders, Account Solution Engineers develop thoughtful solutions that help clients with their biggest challenges. If you enjoy a fast-paced environment full of opportunities to build compelling solutions, then the Solution Engineering team is the place for you. For this role, the Account Solution Engineer must have extremely strong technical acumen across a broad swath of Salesforce solutions and deep expertise in Generative AI. This Solution Engineer will also need to demonstrate honed discovery expertise and the ability to take their discoveries and provide value quickly and holistically to their customers. We are looking for a high performing individual with a demonstrated track record of creativity in customer interactions and solution design, as well as a passion for Generative AI. Responsibilities Strategic Account Partnership : Serve as a main technical voice for your account team while working with one of the world's most sophisticated AI-native organizations. Build deep, trusted relationships with C-suite, engineering leadership, and technical",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:5b1d21de8c7bb9626e20ba77",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.bcb5d998a8994ba493",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "4c15198e2ab3cc904dfd2eb80f731a52",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description contains \"openai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Lead/Principal Account SE, Strategic AI California - San Francisco; Utah - Remote; Washington - Seattle; California - Remote; Washington - Remote; Arizona - Remote; California - Irvine; Colorado - Remote; Nevada - Remote; Oregon - Remote; Washington - Bellevue; Colorado - Denver We are hiring for the role of Lead or Principal Account Solution Engineer for OpenAI within our Strategic Technology segment. Overview Do you want to be part of an outstanding Solution Engineering team that works with and innovates alongside the world's top technology companies? Come join us! Through collaboration with customers and internal stakeholders, Account Solution Engineers develop thoughtful solutions that help clients with their biggest challenges. If you enjoy a fast-paced environment full of opportunities to build compelling solutions, then the Solution Engineering team is the place for you. For this role, the Account Solution Engineer must have extremely strong technical acumen across a broad swath of Salesforce solutions and deep expertise in Generative AI. This Solution Engineer will also need to demonstrate honed discovery expertise and the ability to take their discoveries and provide value quickly and holistically to their customers. We are looking for a high performing individual with a demonstrated track record of creativity in customer interactions and solution design, as well as a passion for Generative AI. Responsibilities Strategic Account Partnership : Serve as a main technical voice for your account team while working with one of the world's most sophisticated AI-native organizations. Build deep, trusted relationships with C-suite, engineering leadership, and technical",
          "matched_input": "openai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.aff486859c7bcfaa5d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "4c15198e2ab3cc904dfd2eb80f731a52",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.7ab7dc247a7fff2235",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344156/leadprincipal-account-se-strategic-ai/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "4d8b5cedb4579a50db7cf8f3f89ddf9e",
      "title": "GDB/X - Junior Agentic AI Engineer (m/f/d)",
      "employer_name": "BASF",
      "employer_slug": "basf",
      "location_text": "Country / Location India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://basf.jobs/dark_blue_AP/job/GDBX-Junior-Agentic-AI-Engineer-%28mfd%29/138920-en_US/",
      "apply_url_verified": false,
      "ats": "successfactors",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "GDB/X - Junior Agentic AI Engineer (m/f/d) Country / Location India Junior Agentic AI Engineer OrgCode: GDB/X Product Team: Intelligent Automation Responsibilities: - Create Agent Tools: Write Python functions and API wrappers that allow our agents to perform actions (e.g., \"Look up material price in SAP\"), following the MCP standard. - Maintain Quality: Write comprehensive unit tests and \"Evals\" (using LLM-as-a-Judge) to ensure our agents are accurate, safe, and helpful. - Support Operations: Monitor agent performance using our observability tools, helping to identify and fix issues like hallucinations or failed API calls. - Build & Test Agents: Develop specific domain agents (e.g., \"HR Policy Assistant\", \"IT Ticket Classifier\") using our pre-validated Blueprints and Azure AI Foundry. - Learn & Grow: Rapidly upskill on AKS, Databricks, and LangGraph, moving from building simple chatbots to complex autonomous systems under the mentorship of senior team members. Qualifications: - Foundational Skills: Strong grasp of Python programming. You know your way around data structures, APIs (REST), and basic version control (GitHub). - AI Curiosity: You have experimented with LLMs (OpenAI API, Hugging Face) and understand the basics of Prompt Engineering and RAG. - Tech Savvy: Familiarity with Docker and basic cloud concepts (Azure/AWS) is a big plus. - Mindset: You are a fast learner who isn't afraid to break things in a sandbox to understand how they work. You are passionate about how AI can solve real-world problems. - Team Player: You communicate c",
      "parental_leave_weeks": 8,
      "non_birth_parent_leave_weeks": 8,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.benefitnews.com/news/basf-boosts-family-bereavement-leave",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 56,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.benefitnews.com/news/basf-boosts-family-bereavement-leave",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.benefitnews.com/news/basf-boosts-family-bereavement-leave"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "entry",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 0,
      "years_experience_max": 4,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2c43d2abb81d1fd5e8",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "4d8b5cedb4579a50db7cf8f3f89ddf9e",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "GDB/X - Junior Agentic AI Engineer (m/f/d) Country / Location India Junior Agentic AI Engineer OrgCode: GDB/X Product Team: Intelligent Automation Responsibilities: - Create Agent Tools: Write Python functions and API wrappers that allow our agents to perform actions (e.g., \"Look up material price in SAP\"), following the MCP standard. - Maintain Quality: Write comprehensive unit tests and \"Evals\" (using LLM-as-a-Judge) to ensure our agents are accurate, safe, and helpful. - Support Operations: Monitor agent performance using our observability tools, helping to identify and fix issues like hallucinations or failed API calls. - Build & Test Agents: Develop specific domain agents (e.g., \"HR Policy Assistant\", \"IT Ticket Classifier\") using our pre-validated Blueprints and Azure AI Foundry. - Learn & Grow: Rapidly upskill on AKS, Databricks, and LangGraph, moving from building simple chatbots to complex autonomous systems under the mentorship of senior team members. Qualifications: - Foundational Skills: Strong grasp of Python programming. You know your way around data structures, APIs (REST), and basic version control (GitHub). - AI Curiosity: You have experimented with LLMs (OpenAI API, Hugging Face) and understand the basics of Prompt Engineering and RAG. - Tech Savvy: Familiarity with Docker and basic cloud concepts (Azure/AWS) is a big plus. - Mindset: You are a fast learner who isn't afraid to break things in a sandbox to understand how they work. You are passionate about how AI can solve real-world problems. - Team Player: You communicate c",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:4d8b5cedb4579a50db7cf8f3f89ddf9e:description:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.3a321df4cf843c50b9",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "4d8b5cedb4579a50db7cf8f3f89ddf9e",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "GDB/X - Junior Agentic AI Engineer (m/f/d) Country / Location India Junior Agentic AI Engineer OrgCode: GDB/X Product Team: Intelligent Automation Responsibilities: - Create Agent Tools: Write Python functions and API wrappers that allow our agents to perform actions (e.g., \"Look up material price in SAP\"), following the MCP standard. - Maintain Quality: Write comprehensive unit tests and \"Evals\" (using LLM-as-a-Judge) to ensure our agents are accurate, safe, and helpful. - Support Operations: Monitor agent performance using our observability tools, helping to identify and fix issues like hallucinations or failed API calls. - Build & Test Agents: Develop specific domain agents (e.g., \"HR Policy Assistant\", \"IT Ticket Classifier\") using our pre-validated Blueprints and Azure AI Foundry. - Learn & Grow: Rapidly upskill on AKS, Databricks, and LangGraph, moving from building simple chatbots to complex autonomous systems under the mentorship of senior team members. Qualifications: - Foundational Skills: Strong grasp of Python programming. You know your way around data structures, APIs (REST), and basic version control (GitHub). - AI Curiosity: You have experimented with LLMs (OpenAI API, Hugging Face) and understand the basics of Prompt Engineering and RAG. - Tech Savvy: Familiarity with Docker and basic cloud concepts (Azure/AWS) is a big plus. - Mindset: You are a fast learner who isn't afraid to break things in a sandbox to understand how they work. You are passionate about how AI can solve real-world problems. - Team Player: You communicate c",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:2f8188f4f44031170221d909",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b6d550b2b21bc96fff",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "4d8b5cedb4579a50db7cf8f3f89ddf9e",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description contains \"openai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "GDB/X - Junior Agentic AI Engineer (m/f/d) Country / Location India Junior Agentic AI Engineer OrgCode: GDB/X Product Team: Intelligent Automation Responsibilities: - Create Agent Tools: Write Python functions and API wrappers that allow our agents to perform actions (e.g., \"Look up material price in SAP\"), following the MCP standard. - Maintain Quality: Write comprehensive unit tests and \"Evals\" (using LLM-as-a-Judge) to ensure our agents are accurate, safe, and helpful. - Support Operations: Monitor agent performance using our observability tools, helping to identify and fix issues like hallucinations or failed API calls. - Build & Test Agents: Develop specific domain agents (e.g., \"HR Policy Assistant\", \"IT Ticket Classifier\") using our pre-validated Blueprints and Azure AI Foundry. - Learn & Grow: Rapidly upskill on AKS, Databricks, and LangGraph, moving from building simple chatbots to complex autonomous systems under the mentorship of senior team members. Qualifications: - Foundational Skills: Strong grasp of Python programming. You know your way around data structures, APIs (REST), and basic version control (GitHub). - AI Curiosity: You have experimented with LLMs (OpenAI API, Hugging Face) and understand the basics of Prompt Engineering and RAG. - Tech Savvy: Familiarity with Docker and basic cloud concepts (Azure/AWS) is a big plus. - Mindset: You are a fast learner who isn't afraid to break things in a sandbox to understand how they work. You are passionate about how AI can solve real-world problems. - Team Player: You communicate c",
          "matched_input": "openai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.eaf14e66d246c83ddc",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "4d8b5cedb4579a50db7cf8f3f89ddf9e",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.735c935614e5f690b9",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://basf.jobs/dark_blue_AP/job/GDBX-Junior-Agentic-AI-Engineer-%28mfd%29/138920-en_US/",
          "source_values": [
            "https://www.benefitnews.com/news/basf-boosts-family-bereavement-leave"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://basf.jobs/dark_blue_AP/job/GDBX-Junior-Agentic-AI-Engineer-%28mfd%29/138920-en_US/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://basf.jobs/dark_blue_AP/job/GDBX-Junior-Agentic-AI-Engineer-%28mfd%29/138920-en_US/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://basf.jobs/dark_blue_AP/job/GDBX-Junior-Agentic-AI-Engineer-%28mfd%29/138920-en_US/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://basf.jobs/dark_blue_AP/job/GDBX-Junior-Agentic-AI-Engineer-%28mfd%29/138920-en_US/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "c16607786177643cb8e599017a5ab516",
      "title": "GDE/MF - AI Engineer (M/F/D)",
      "employer_name": "BASF",
      "employer_slug": "basf",
      "location_text": "Country / Location India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://basf.jobs/dark_blue_AP/job/GDEMF-AI-Engineer-%28MFD%29/138761-en_US/",
      "apply_url_verified": false,
      "ats": "successfactors",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "GDE/MF - AI Engineer (M/F/D) Country / Location India Strong experience with Python for backend and AI development. Hands-on experience with FastAPI (or similar Python web frameworks). Practical experience with LLM frameworks such as: OpenAI Agents SDK LangChain Or equivalent agent orchestration frameworks Solid understanding of prompt engineering techniques. Experience with memory management and context strategies for GenAI applications. Experience deploying applications to Azure Cloud . Familiarity with Docker and containerized deployments. Experience using GitHub for version control and CI/CD pipelines . Ability to work closely with product teams and adapt to evolving requirements. Key Responsibilities Design, develop, and enhance Generative AI solutions integrated into our product ecosystem. Translate product and business requirements into robust GenAI features . Build and maintain backend services using FastAPI and Python. Develop and integrate LLM-powered agents using frameworks such as OpenAI Agents SDK, LangChain, or similar . Implement effective prompt engineering strategies , including prompt optimization and evaluation. Design and manage conversation memory and context handling for multi-turn and agent-based systems. Deploy and operate GenAI services in Azure Cloud environments. Containerize applications using Docker and contribute to scalable deployment architectures. Collaborate with product managers, engineers, and stakeholders to iteratively improve AI-driven features. Maintain high code quality through version co",
      "parental_leave_weeks": 8,
      "non_birth_parent_leave_weeks": 8,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.benefitnews.com/news/basf-boosts-family-bereavement-leave",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 56,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.benefitnews.com/news/basf-boosts-family-bereavement-leave",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.benefitnews.com/news/basf-boosts-family-bereavement-leave"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fd5b9ff58cb886a448",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c16607786177643cb8e599017a5ab516",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "GDE/MF - AI Engineer (M/F/D) Country / Location India Strong experience with Python for backend and AI development. Hands-on experience with FastAPI (or similar Python web frameworks). Practical experience with LLM frameworks such as: OpenAI Agents SDK LangChain Or equivalent agent orchestration frameworks Solid understanding of prompt engineering techniques. Experience with memory management and context strategies for GenAI applications. Experience deploying applications to Azure Cloud . Familiarity with Docker and containerized deployments. Experience using GitHub for version control and CI/CD pipelines . Ability to work closely with product teams and adapt to evolving requirements. Key Responsibilities Design, develop, and enhance Generative AI solutions integrated into our product ecosystem. Translate product and business requirements into robust GenAI features . Build and maintain backend services using FastAPI and Python. Develop and integrate LLM-powered agents using frameworks such as OpenAI Agents SDK, LangChain, or similar . Implement effective prompt engineering strategies , including prompt optimization and evaluation. Design and manage conversation memory and context handling for multi-turn and agent-based systems. Deploy and operate GenAI services in Azure Cloud environments. Containerize applications using Docker and contribute to scalable deployment architectures. Collaborate with product managers, engineers, and stakeholders to iteratively improve AI-driven features. Maintain high code quality through version co",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:c16607786177643cb8e599017a5ab516:description:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.0304bbc22746822cfd",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c16607786177643cb8e599017a5ab516",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "GDE/MF - AI Engineer (M/F/D) Country / Location India Strong experience with Python for backend and AI development. Hands-on experience with FastAPI (or similar Python web frameworks). Practical experience with LLM frameworks such as: OpenAI Agents SDK LangChain Or equivalent agent orchestration frameworks Solid understanding of prompt engineering techniques. Experience with memory management and context strategies for GenAI applications. Experience deploying applications to Azure Cloud . Familiarity with Docker and containerized deployments. Experience using GitHub for version control and CI/CD pipelines . Ability to work closely with product teams and adapt to evolving requirements. Key Responsibilities Design, develop, and enhance Generative AI solutions integrated into our product ecosystem. Translate product and business requirements into robust GenAI features . Build and maintain backend services using FastAPI and Python. Develop and integrate LLM-powered agents using frameworks such as OpenAI Agents SDK, LangChain, or similar . Implement effective prompt engineering strategies , including prompt optimization and evaluation. Design and manage conversation memory and context handling for multi-turn and agent-based systems. Deploy and operate GenAI services in Azure Cloud environments. Containerize applications using Docker and contribute to scalable deployment architectures. Collaborate with product managers, engineers, and stakeholders to iteratively improve AI-driven features. Maintain high code quality through version co",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:dc9ca307b02b829b19fddbfb",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ebfb5e3b4f9a35658c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c16607786177643cb8e599017a5ab516",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description contains \"openai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "GDE/MF - AI Engineer (M/F/D) Country / Location India Strong experience with Python for backend and AI development. Hands-on experience with FastAPI (or similar Python web frameworks). Practical experience with LLM frameworks such as: OpenAI Agents SDK LangChain Or equivalent agent orchestration frameworks Solid understanding of prompt engineering techniques. Experience with memory management and context strategies for GenAI applications. Experience deploying applications to Azure Cloud . Familiarity with Docker and containerized deployments. Experience using GitHub for version control and CI/CD pipelines . Ability to work closely with product teams and adapt to evolving requirements. Key Responsibilities Design, develop, and enhance Generative AI solutions integrated into our product ecosystem. Translate product and business requirements into robust GenAI features . Build and maintain backend services using FastAPI and Python. Develop and integrate LLM-powered agents using frameworks such as OpenAI Agents SDK, LangChain, or similar . Implement effective prompt engineering strategies , including prompt optimization and evaluation. Design and manage conversation memory and context handling for multi-turn and agent-based systems. Deploy and operate GenAI services in Azure Cloud environments. Containerize applications using Docker and contribute to scalable deployment architectures. Collaborate with product managers, engineers, and stakeholders to iteratively improve AI-driven features. Maintain high code quality through version co",
          "matched_input": "openai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.63096d3243d59a8d73",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c16607786177643cb8e599017a5ab516",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.0bd64b90d1c1df129b",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://basf.jobs/dark_blue_AP/job/GDEMF-AI-Engineer-%28MFD%29/138761-en_US/",
          "source_values": [
            "https://www.benefitnews.com/news/basf-boosts-family-bereavement-leave"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://basf.jobs/dark_blue_AP/job/GDEMF-AI-Engineer-%28MFD%29/138761-en_US/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://basf.jobs/dark_blue_AP/job/GDEMF-AI-Engineer-%28MFD%29/138761-en_US/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://basf.jobs/dark_blue_AP/job/GDEMF-AI-Engineer-%28MFD%29/138761-en_US/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "3ced0db3de600383dd3af9310fa7261e",
      "title": "Digital Innovation Co-Op – Supply Chain",
      "employer_name": "Samsara",
      "employer_slug": "samsara",
      "location_text": "Remote - US",
      "country": "US",
      "employment_type": "internship",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 16.36,
      "salary_max": 24.75,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "hour",
      "base_salary_min": 16.36,
      "base_salary_max": 24.75,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": true,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Digital Innovation Co-Op – Supply Chain Remote - US Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the Role We are looking for a curious, hands-on Operations Intelligence Co-Op to join our team. You will work alongside data scientists, engineers, and supply chain domain experts on end-to-end projects that span forecasting, automation, and decision support. This is a role for students who enjoy getting their hands dirty: writing real code, exploring messy operational data, and seeing their work influence actual business processes across planning, procurement, fulfillment, and production. This is a high-visibility, cross-functional position embedded within the Operations Innovation",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.samsara.com/company/careers/benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "contractor_type": {
          "field": "contractor_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "contractor_type"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.samsara.com/company/careers/benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.samsara.com/company/careers/benefits"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "learning_budget_offered": {
          "field": "learning_budget_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "learning_budget_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "operations",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.41914685aedfb0e959",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "3ced0db3de600383dd3af9310fa7261e",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Digital Innovation Co-Op – Supply Chain",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:a145b562869663c796c486d2",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.e7658529a006dde1de",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "3ced0db3de600383dd3af9310fa7261e",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.222e7faa253e88cd99",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "https://www.samsara.com/company/careers/benefits"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "learning_budget_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7839203?gh_jid=7839203",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "bafc56c23edbedcf1282e181ec9ce995",
      "title": "Principal Application Software Engineer",
      "employer_name": "Oracle",
      "employer_slug": "oracle",
      "location_text": "United States, US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 99600,
      "salary_max": 223400,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 99600,
      "base_salary_max": 223400,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-05T00:00:00.000Z",
      "apply_url": "https://careers.oracle.com/en/sites/jobsearch/job/332765/",
      "apply_url_verified": false,
      "ats": "oracle_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Application Software Engineer United States, US Oracle is seeking an experienced Software Engineer to join a highly skilled team focused on building modern cloud and AI-enabled enterprise solutions. This role is ideal for a developer with strong hands-on experience in Oracle APEX, PL/SQL, Oracle Database technologies, and a solid foundation in full-stack software development. OCI Enterprise Engineering helps drive Oracle's AI transformation by delivering modern enterprise services. Our team builds secure, scalable AI frameworks, platforms, and developer tools that enable applications, empower employees, and improve productivity. This role is ideal for engineering-focused individuals who enjoy solving complex problems and delivering high-impact AI enablement solutions. As a member of the OCI Enterprise Engineering AI Services team, you will help design, develop, and support enterprise AI solutions using Oracle APEX, Oracle Database, PL/SQL, OpenAI tools, and Anthropic AI tools. In this role, you will work on next-generation AI-enabled applications, integrate AI capabilities into business workflows, and contribute to reliable, secure, and scalable software solutions for Oracle's internal enterprise platforms. Design, architect, develop, and operate secure, scalable, highly available enterprise AI-enabled applications and services using Oracle APEX, Oracle Database, PL/SQL, SQL, REST APIs, JSON, JavaScript, and modern full-stack engineering practices. Build reusable enterprise AI frameworks, developer platforms, APIs, orchestration services, and AI accelerators that enable scalable AI adoption across Oracle enterprise applications. Drive the technical design and architecture of enterprise AI solutions, ensuring maintainability, scalability, resiliency, security, observability, and operational readiness. Integrate Generative AI capabilities using OpenAI technologies including GPT models, Assistants",
      "parental_leave_weeks": 14,
      "non_birth_parent_leave_weeks": 14,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.oracle.com/careers/culture/benefits/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 94,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.oracle.com/careers/culture/benefits/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.oracle.com/careers/culture/benefits/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.oracle.com/careers/culture/benefits/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.oracle.com/careers/culture/benefits/"
        }
      },
      "seniority": "principal",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b220be499488a972a6",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "bafc56c23edbedcf1282e181ec9ce995",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Application Software Engineer United States, US Oracle is seeking an experienced Software Engineer to join a highly skilled team focused on building modern cloud and AI-enabled enterprise solutions. This role is ideal for a developer with strong hands-on experience in Oracle APEX, PL/SQL, Oracle Database technologies, and a solid foundation in full-stack software development. OCI Enterprise Engineering helps drive Oracle's AI transformation by delivering modern enterprise services. Our team builds secure, scalable AI frameworks, platforms, and developer tools that enable applications, empower employees, and improve productivity. This role is ideal for engineering-focused individuals who enjoy solving complex problems and delivering high-impact AI enablement solutions. As a member of the OCI Enterprise Engineering AI Services team, you will help design, develop, and support enterprise AI solutions using Oracle APEX, Oracle Database, PL/SQL, OpenAI tools, and Anthropic AI tools. In this role, you will work on next-generation AI-enabled applications, integrate AI capabilities into business workflows, and contribute to reliable, secure, and scalable software solutions for Oracle's internal enterprise platforms. Design, architect, develop, and operate secure, scalable, highly available enterprise AI-enabled applications and services using Oracle APEX, Oracle Database, PL/SQL, SQL, REST APIs, JSON, JavaScript, and modern full-stack engineering practices. Build reusable enterprise AI frameworks, developer platforms, APIs, orchestration services, and AI accelerators that enable scalable AI adoption across Oracle enterprise applications. Drive the technical design and architecture of enterprise AI solutions, ensuring maintainability, scalability, resiliency, security, observability, and operational readiness. Integrate Generative AI capabilities using OpenAI technologies including GPT models, Assistants",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:bafc56c23edbedcf1282e181ec9ce995:description:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.ccab78505c4df07e37",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "bafc56c23edbedcf1282e181ec9ce995",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Application Software Engineer United States, US Oracle is seeking an experienced Software Engineer to join a highly skilled team focused on building modern cloud and AI-enabled enterprise solutions. This role is ideal for a developer with strong hands-on experience in Oracle APEX, PL/SQL, Oracle Database technologies, and a solid foundation in full-stack software development. OCI Enterprise Engineering helps drive Oracle's AI transformation by delivering modern enterprise services. Our team builds secure, scalable AI frameworks, platforms, and developer tools that enable applications, empower employees, and improve productivity. This role is ideal for engineering-focused individuals who enjoy solving complex problems and delivering high-impact AI enablement solutions. As a member of the OCI Enterprise Engineering AI Services team, you will help design, develop, and support enterprise AI solutions using Oracle APEX, Oracle Database, PL/SQL, OpenAI tools, and Anthropic AI tools. In this role, you will work on next-generation AI-enabled applications, integrate AI capabilities into business workflows, and contribute to reliable, secure, and scalable software solutions for Oracle's internal enterprise platforms. Design, architect, develop, and operate secure, scalable, highly available enterprise AI-enabled applications and services using Oracle APEX, Oracle Database, PL/SQL, SQL, REST APIs, JSON, JavaScript, and modern full-stack engineering practices. Build reusable enterprise AI frameworks, developer platforms, APIs, orchestration services, and AI accelerators that enable scalable AI adoption across Oracle enterprise applications. Drive the technical design and architecture of enterprise AI solutions, ensuring maintainability, scalability, resiliency, security, observability, and operational readiness. Integrate Generative AI capabilities using OpenAI technologies including GPT models, Assistants",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:53394f1dd3165b402d797fba",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f6553354f13b227bb7",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "bafc56c23edbedcf1282e181ec9ce995",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description contains \"openai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Principal Application Software Engineer United States, US Oracle is seeking an experienced Software Engineer to join a highly skilled team focused on building modern cloud and AI-enabled enterprise solutions. This role is ideal for a developer with strong hands-on experience in Oracle APEX, PL/SQL, Oracle Database technologies, and a solid foundation in full-stack software development. OCI Enterprise Engineering helps drive Oracle's AI transformation by delivering modern enterprise services. Our team builds secure, scalable AI frameworks, platforms, and developer tools that enable applications, empower employees, and improve productivity. This role is ideal for engineering-focused individuals who enjoy solving complex problems and delivering high-impact AI enablement solutions. As a member of the OCI Enterprise Engineering AI Services team, you will help design, develop, and support enterprise AI solutions using Oracle APEX, Oracle Database, PL/SQL, OpenAI tools, and Anthropic AI tools. In this role, you will work on next-generation AI-enabled applications, integrate AI capabilities into business workflows, and contribute to reliable, secure, and scalable software solutions for Oracle's internal enterprise platforms. Design, architect, develop, and operate secure, scalable, highly available enterprise AI-enabled applications and services using Oracle APEX, Oracle Database, PL/SQL, SQL, REST APIs, JSON, JavaScript, and modern full-stack engineering practices. Build reusable enterprise AI frameworks, developer platforms, APIs, orchestration services, and AI accelerators that enable scalable AI adoption across Oracle enterprise applications. Drive the technical design and architecture of enterprise AI solutions, ensuring maintainability, scalability, resiliency, security, observability, and operational readiness. Integrate Generative AI capabilities using OpenAI technologies including GPT models, Assistants",
          "matched_input": "openai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.44a2bcd71831ee0f0a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "bafc56c23edbedcf1282e181ec9ce995",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.9498da9c40cddddab6",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332765/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332765/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332765/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332765/",
          "source_values": [
            "https://www.oracle.com/careers/culture/benefits/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332765/",
          "source_values": [
            "https://www.oracle.com/careers/culture/benefits/"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332765/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332765/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "15dccfc1dcb4b40e303bd3fd090cb29c",
      "title": "AI Solutions Engineer",
      "employer_name": "Pinterest",
      "employer_slug": "pinterest",
      "location_text": "San Francisco, CA, US; Remote, US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 123696,
      "salary_max": 254667,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 123696,
      "base_salary_max": 254667,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-03-12T23:43:31.000Z",
      "apply_url": "https://www.pinterestcareers.com/jobs/?gh_jid=7714127",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Solutions Engineer San Francisco, CA, US; Remote, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We're building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life. This",
      "parental_leave_weeks": 20,
      "non_birth_parent_leave_weeks": 20,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://newsroom.pinterest.com/news/pinterest-introduces-new-and-extended-parental-benefits-for-employees/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 76,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1506293/000150629326000021/pins-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1506293/000150629326000021/pins-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://newsroom.pinterest.com/news/pinterest-introduces-new-and-extended-parental-benefits-for-employees/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://newsroom.pinterest.com/news/pinterest-introduces-new-and-extended-parental-benefits-for-employees/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": null,
      "employer_industry_source": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.c6dd4de22b3d8f0a2d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "15dccfc1dcb4b40e303bd3fd090cb29c",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "AI Solutions Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:13d003d99103a401ca993f10",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.6c357883a46c499fca",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "15dccfc1dcb4b40e303bd3fd090cb29c",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.5490c8c184fc75c8cd",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.pinterestcareers.com/jobs/?gh_jid=7714127",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.pinterestcareers.com/jobs/?gh_jid=7714127",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.pinterestcareers.com/jobs/?gh_jid=7714127",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.pinterestcareers.com/jobs/?gh_jid=7714127",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1506293/000150629326000021/pins-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1506293/000150629326000021/pins-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.pinterestcareers.com/jobs/?gh_jid=7714127",
          "source_values": [
            "https://newsroom.pinterest.com/news/pinterest-introduces-new-and-extended-parental-benefits-for-employees/"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.pinterestcareers.com/jobs/?gh_jid=7714127",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.pinterestcareers.com/jobs/?gh_jid=7714127",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.pinterestcareers.com/jobs/?gh_jid=7714127",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "482a9b23572fb5fb91529652b2907456",
      "title": "Machine Learning Engineer II (Servicing ML)",
      "employer_name": "Affirm",
      "employer_slug": "affirm",
      "location_text": "Remote US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 165000,
      "salary_max": 225000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 165000,
      "base_salary_max": 225000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer II (Servicing ML) Remote US",
      "parental_leave_weeks": 18,
      "non_birth_parent_leave_weeks": 18,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.affirm.com/leave-of-absence/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 73,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1820953/000182095325000080/afrm-20250630.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1820953/000182095325000080/afrm-20250630.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.affirm.com/leave-of-absence/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.affirm.com/leave-of-absence/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.affirm.com/leave-of-absence/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.affirm.com/leave-of-absence/"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 2,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Finance",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.d5476f22c8003892c6",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "482a9b23572fb5fb91529652b2907456",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Machine Learning Engineer II (Servicing ML)",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:949800fd780b741995207d9f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.bfac645fb9e3a5db09",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "482a9b23572fb5fb91529652b2907456",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.0828336c50028e4b5c",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1820953/000182095325000080/afrm-20250630.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1820953/000182095325000080/afrm-20250630.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
          "source_values": [
            "https://benefits.affirm.com/leave-of-absence/"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
          "source_values": [
            "https://benefits.affirm.com/leave-of-absence/"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/affirm/jobs/7719651003",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "8e64ac5a143559e5e48a8a1cfc31ef47",
      "title": "Working Student (f/m/d) - to join Industry \"Tiger\" Team to drive AI Innovation",
      "employer_name": "SAP",
      "employer_slug": "sap",
      "location_text": "Region Europe | Country Germany | Internal Posting Location Walldorf",
      "country": "DE",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://jobs.sap.com/job/Walldorf-Working-Student-%28fmd%29-to-join-Industry-Tiger-Team-to-drive-AI-Innovation-69190/1396709933/",
      "apply_url_verified": false,
      "ats": "successfactors",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Working Student (f/m/d) - to join Industry \"Tiger\" Team to drive AI Innovation Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you´ll build Assist in the design and prototype AI-driven business use cases across multiple industries, including: Media / Entertainment Life Sciences Financial Services Travel & Transportation Professional Services as examples Learn and use modern AI tools including: Anthropic Claude OpenAI OpenAI / ChatGPT SAP Joule Agentic workflow tools Prompt engineering platforms Assist in the build of demo-ready AI experiences, such as: Industry-specific agents AI-assisted workflows Predictive business insight tools What you bring Currently pursuing a degree in: Computer Science Engineering Business + Technology Strong curiosity around Generative AI and Agentic AI Experience using tools like Anthropic Claude, OpenAI ChatGPT, notebooks, low-code platforms, or prototyping tools Comfortable moving from idea → prototype quickly Strong communication and storytelling skills Builder mindset: creative, scrappy, experimental, and execution-focused. Proficiency in written and spoken English is req",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board",
          "db_column": "parental_leave_weeks",
          "source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "marketing",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f96e710d9f3003a4b6",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8e64ac5a143559e5e48a8a1cfc31ef47",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Working Student (f/m/d) - to join Industry \"Tiger\" Team to drive AI Innovation Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you´ll build Assist in the design and prototype AI-driven business use cases across multiple industries, including: Media / Entertainment Life Sciences Financial Services Travel & Transportation Professional Services as examples Learn and use modern AI tools including: Anthropic Claude OpenAI OpenAI / ChatGPT SAP Joule Agentic workflow tools Prompt engineering platforms Assist in the build of demo-ready AI experiences, such as: Industry-specific agents AI-assisted workflows Predictive business insight tools What you bring Currently pursuing a degree in: Computer Science Engineering Business + Technology Strong curiosity around Generative AI and Agentic AI Experience using tools like Anthropic Claude, OpenAI ChatGPT, notebooks, low-code platforms, or prototyping tools Comfortable moving from idea → prototype quickly Strong communication and storytelling skills Builder mindset: creative, scrappy, experimental, and execution-focused. Proficiency in written and spoken English is req",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:8e64ac5a143559e5e48a8a1cfc31ef47:description:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.description_excerpt.ce59a6be6c4bce4d33",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8e64ac5a143559e5e48a8a1cfc31ef47",
          "signal_type": "query_match",
          "display_text": "Description: semantic match",
          "tooltip": "Description provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "description_excerpt",
          "source_value": "Working Student (f/m/d) - to join Industry \"Tiger\" Team to drive AI Innovation Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you´ll build Assist in the design and prototype AI-driven business use cases across multiple industries, including: Media / Entertainment Life Sciences Financial Services Travel & Transportation Professional Services as examples Learn and use modern AI tools including: Anthropic Claude OpenAI OpenAI / ChatGPT SAP Joule Agentic workflow tools Prompt engineering platforms Assist in the build of demo-ready AI experiences, such as: Industry-specific agents AI-assisted workflows Predictive business insight tools What you bring Currently pursuing a degree in: Computer Science Engineering Business + Technology Strong curiosity around Generative AI and Agentic AI Experience using tools like Anthropic Claude, OpenAI ChatGPT, notebooks, low-code platforms, or prototyping tools Comfortable moving from idea → prototype quickly Strong communication and storytelling skills Builder mindset: creative, scrappy, experimental, and execution-focused. Proficiency in written and spoken English is req",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:1a8d166db7dda78bcf5ccbc8",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b17aebaf2dfa7d9020",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8e64ac5a143559e5e48a8a1cfc31ef47",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description contains \"openai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Working Student (f/m/d) - to join Industry \"Tiger\" Team to drive AI Innovation Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you´ll build Assist in the design and prototype AI-driven business use cases across multiple industries, including: Media / Entertainment Life Sciences Financial Services Travel & Transportation Professional Services as examples Learn and use modern AI tools including: Anthropic Claude OpenAI OpenAI / ChatGPT SAP Joule Agentic workflow tools Prompt engineering platforms Assist in the build of demo-ready AI experiences, such as: Industry-specific agents AI-assisted workflows Predictive business insight tools What you bring Currently pursuing a degree in: Computer Science Engineering Business + Technology Strong curiosity around Generative AI and Agentic AI Experience using tools like Anthropic Claude, OpenAI ChatGPT, notebooks, low-code platforms, or prototyping tools Comfortable moving from idea → prototype quickly Strong communication and storytelling skills Builder mindset: creative, scrappy, experimental, and execution-focused. Proficiency in written and spoken English is req",
          "matched_input": "openai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.23aa00cf110fb3418d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8e64ac5a143559e5e48a8a1cfc31ef47",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.bafcf4c2664a954896",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.sap.com/job/Walldorf-Working-Student-%28fmd%29-to-join-Industry-Tiger-Team-to-drive-AI-Innovation-69190/1396709933/",
          "source_values": [
            "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.sap.com/job/Walldorf-Working-Student-%28fmd%29-to-join-Industry-Tiger-Team-to-drive-AI-Innovation-69190/1396709933/",
          "source_values": [
            "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.sap.com/job/Walldorf-Working-Student-%28fmd%29-to-join-Industry-Tiger-Team-to-drive-AI-Innovation-69190/1396709933/",
          "source_values": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.sap.com/job/Walldorf-Working-Student-%28fmd%29-to-join-Industry-Tiger-Team-to-drive-AI-Innovation-69190/1396709933/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://jobs.sap.com/job/Walldorf-Working-Student-%28fmd%29-to-join-Industry-Tiger-Team-to-drive-AI-Innovation-69190/1396709933/",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "394d5811b93d4e35a7bd6be5e061ca41",
      "title": "Senior Machine Learning Engineer, AI Platform",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "San Jose",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Machine Learning Engineer, AI Platform San Jose posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.31039027968de85fe8",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "394d5811b93d4e35a7bd6be5e061ca41",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Machine Learning Engineer, AI Platform",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:50f3203347057f012ab2e173",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.a746c2b7e74bd66ca1",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "394d5811b93d4e35a7bd6be5e061ca41",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:394d5811b93d4e35a7bd6be5e061ca41:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.b41ec434f442e963dd",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "394d5811b93d4e35a7bd6be5e061ca41",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.48b9401dc336742d26",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "36edb9d4bec2486136d955979b1ff5a7",
      "title": "Principal Machine Learning Engineer - Evisort AI",
      "employer_name": "Workday, Inc.",
      "employer_slug": "workday",
      "location_text": "6 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T00:00:00.000Z",
      "apply_url": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer---Evisort-AI_JR-0098981",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Machine Learning Engineer - Evisort AI 6 Locations posted: Posted 2 Days Ago",
      "parental_leave_weeks": 12,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 89,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.78d207084649b77091",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "36edb9d4bec2486136d955979b1ff5a7",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Principal Machine Learning Engineer - Evisort AI",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:906dfd0fcb6538ef94e43403",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.cceec5bcc6b741532d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "36edb9d4bec2486136d955979b1ff5a7",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:36edb9d4bec2486136d955979b1ff5a7:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.18f0b51d95d7b5a917",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "36edb9d4bec2486136d955979b1ff5a7",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.02fde283df932b657c",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer---Evisort-AI_JR-0098981",
          "source_values": [
            "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer---Evisort-AI_JR-0098981",
          "source_values": [
            "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer---Evisort-AI_JR-0098981",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer---Evisort-AI_JR-0098981",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "3c489085ed0321deae30a744e07d0f13",
      "title": "Staff AI/ML Engineer - Edge AI System",
      "employer_name": "Analog Devices",
      "employer_slug": "analog-devices",
      "location_text": "6 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Staff-AI-ML-Engineer_R262132",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.analog.com/media/en/company-csr/benefits-at-a-glance.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/6281/000000628125000153/adi-20251101.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/6281/000000628125000153/adi-20251101.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.analog.com/media/en/company-csr/benefits-at-a-glance.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.analog.com/media/en/company-csr/benefits-at-a-glance.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.analog.com/media/en/company-csr/benefits-at-a-glance.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.analog.com/media/en/company-csr/benefits-at-a-glance.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.6e88c0b5a0d6541d50",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "3c489085ed0321deae30a744e07d0f13",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Staff AI/ML Engineer - Edge AI System",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:aa47171d7de9f2ccbc828255",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.e6acc4b03ba6aaaad6",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "3c489085ed0321deae30a744e07d0f13",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:3c489085ed0321deae30a744e07d0f13:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.aaf0cc37f8e755e60d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "3c489085ed0321deae30a744e07d0f13",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.6815f4496252822814",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/6281/000000628125000153/adi-20251101.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/6281/000000628125000153/adi-20251101.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Staff-AI-ML-Engineer_R262132",
          "source_values": [
            "https://www.analog.com/media/en/company-csr/benefits-at-a-glance.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Staff-AI-ML-Engineer_R262132",
          "source_values": [
            "https://www.analog.com/media/en/company-csr/benefits-at-a-glance.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Staff-AI-ML-Engineer_R262132",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://analogdevices.wd1.myworkdayjobs.com/External/job/Ireland-Limerick/Staff-AI-ML-Engineer_R262132",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "fba87f2305cc6a1da3fc0df242fcf4f1",
      "title": "AI Engineer",
      "employer_name": "Rockwell Automation",
      "employer_slug": "rockwell-automation",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://rockwellautomation.wd1.myworkdayjobs.com/External_Rockwell_Automation/job/Milwaukee-Wisconsin-United-States/AI-Engineer_R26-2976",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer 2 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://raquickfind.com/paid-time-off/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1024478/000102447825000116/rok-20250930.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1024478/000102447825000116/rok-20250930.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://raquickfind.com/paid-time-off/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://raquickfind.com/paid-time-off/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://raquickfind.com/paid-time-off/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://raquickfind.com/paid-time-off/"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.d64ff953d583275888",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fba87f2305cc6a1da3fc0df242fcf4f1",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6147e4f833e7846504833275",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.d0944fb1846762afd0",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fba87f2305cc6a1da3fc0df242fcf4f1",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:fba87f2305cc6a1da3fc0df242fcf4f1:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.b9cbfb8b51ae56c55d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fba87f2305cc6a1da3fc0df242fcf4f1",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.8211bdcc5ad75490a2",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1024478/000102447825000116/rok-20250930.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1024478/000102447825000116/rok-20250930.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://rockwellautomation.wd1.myworkdayjobs.com/External_Rockwell_Automation/job/Milwaukee-Wisconsin-United-States/AI-Engineer_R26-2976",
          "source_values": [
            "https://raquickfind.com/paid-time-off/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://rockwellautomation.wd1.myworkdayjobs.com/External_Rockwell_Automation/job/Milwaukee-Wisconsin-United-States/AI-Engineer_R26-2976",
          "source_values": [
            "https://raquickfind.com/paid-time-off/"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://rockwellautomation.wd1.myworkdayjobs.com/External_Rockwell_Automation/job/Milwaukee-Wisconsin-United-States/AI-Engineer_R26-2976",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://rockwellautomation.wd1.myworkdayjobs.com/External_Rockwell_Automation/job/Milwaukee-Wisconsin-United-States/AI-Engineer_R26-2976",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "5e16af528a66cf97aa887eaf854c86ed",
      "title": "Senior Staff AI Engineer",
      "employer_name": "GE Vernova",
      "employer_slug": "ge-vernova",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Sr-Staff-Software-Engineer---AI-Augmented-Full-Stack_R5026204-3",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Staff AI Engineer 2 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 10,
      "non_birth_parent_leave_weeks": 10,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 85,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.0690696c45ca3816a1",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5e16af528a66cf97aa887eaf854c86ed",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Senior Staff AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b4ebba8b1772c966d9ca4d65",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.35ebfab9e2dafb1dd7",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5e16af528a66cf97aa887eaf854c86ed",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:5e16af528a66cf97aa887eaf854c86ed:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.f5564c7cd2b990e7e7",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5e16af528a66cf97aa887eaf854c86ed",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.d6b7bd845f2b986457",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Sr-Staff-Software-Engineer---AI-Augmented-Full-Stack_R5026204-3",
          "source_values": [
            "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Sr-Staff-Software-Engineer---AI-Augmented-Full-Stack_R5026204-3",
          "source_values": [
            "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Sr-Staff-Software-Engineer---AI-Augmented-Full-Stack_R5026204-3",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Sr-Staff-Software-Engineer---AI-Augmented-Full-Stack_R5026204-3",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "a5b97c753b7907bf73f0ad2a96c84c63",
      "title": "AI Staff Scientist",
      "employer_name": "3M",
      "employer_slug": "3m",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Staff Scientist 2 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 10,
      "non_birth_parent_leave_weeks": 10,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 85,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.30b765dc9dc6e9313e",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "a5b97c753b7907bf73f0ad2a96c84c63",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "AI Staff Scientist",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:dc669db7ad544d627f29a3a6",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.01a773af47d6b98f1d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "a5b97c753b7907bf73f0ad2a96c84c63",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:a5b97c753b7907bf73f0ad2a96c84c63:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.66f40d1066ce160551",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "a5b97c753b7907bf73f0ad2a96c84c63",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.fab03661406f9267d6",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843",
          "source_values": [
            "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843",
          "source_values": [
            "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://3m.wd1.myworkdayjobs.com/Search/job/Remote---Minnesota/AI-Staff-Scientist_R01164843",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "fe47f5f8717d0328998cd0f9e6bb3ae0",
      "title": "AI Engineer",
      "employer_name": "Fiserv",
      "employer_slug": "fiserv",
      "location_text": "3 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-19T00:00:00.000Z",
      "apply_url": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Columbus-Ohio/Data-Scientist---Cybersecurity-AI---Advanced-Analytics_R-10388404-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer 3 Locations posted: Posted 24 Days Ago",
      "parental_leave_weeks": 12,
      "non_birth_parent_leave_weeks": 2,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 69,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/798354/000079835426000009/fi-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/798354/000079835426000009/fi-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Finance",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.e78f804781264c5059",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fe47f5f8717d0328998cd0f9e6bb3ae0",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "AI Engineer",
          "matched_input": "openai",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:c8c1794b9e7a30b8f3897363",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.bf04e075e4cd69d56c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fe47f5f8717d0328998cd0f9e6bb3ae0",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:fe47f5f8717d0328998cd0f9e6bb3ae0:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.06d15fd4a0502197a2",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fe47f5f8717d0328998cd0f9e6bb3ae0",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.fbef189e1f38126374",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/798354/000079835426000009/fi-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/798354/000079835426000009/fi-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Columbus-Ohio/Data-Scientist---Cybersecurity-AI---Advanced-Analytics_R-10388404-1",
          "source_values": [
            "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Columbus-Ohio/Data-Scientist---Cybersecurity-AI---Advanced-Analytics_R-10388404-1",
          "source_values": [
            "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Columbus-Ohio/Data-Scientist---Cybersecurity-AI---Advanced-Analytics_R-10388404-1",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Columbus-Ohio/Data-Scientist---Cybersecurity-AI---Advanced-Analytics_R-10388404-1",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "63a8c0a52ca99d2e3e958115cce62c2d",
      "title": "Backend Software Development Engineer - Mid/Senior/Lead/Principal",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "California - San Francisco; Washington - Seattle; Washington - Bellevue",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 141200,
      "salary_max": 344700,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 141200,
      "base_salary_max": 344700,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-20T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr249832/backend-software-development-engineer-midseniorleadprincipal/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Backend Software Development Engineer - Mid/Senior/Lead/Principal California - San Francisco; Washington - Seattle; Washington - Bellevue Note: By applying to the Software Backend Development posting, recruiters and hiring managers across the organization hiring for Backend Software Engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. Positions available at all levels: Mid Level, Senior, Lead and Principal. *IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES * Salesforce has opportunities for experienced software developers who want their lines of code to have significant and measurable positive impact for users, the company's bottom line, and the industry. You will be working with a group of world-class engineers to build the breakthrough features our customers will love, adopt, and use while keeping our trusted CRM platform stable and scalable. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering - the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. We pride ourselves on writing high quality, maintainable code that strengthens the stability of the product and makes our lives easier. We embrace the hybrid model and celebrate the individual strengths of each team member while cultivating everyone on the team to grow into the best version of themselves. We believe that autonomous teams",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 93,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 12,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.f281d8db680a13a097",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "63a8c0a52ca99d2e3e958115cce62c2d",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.5d4a55871e1227e22b",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249832/backend-software-development-engineer-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249832/backend-software-development-engineer-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249832/backend-software-development-engineer-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249832/backend-software-development-engineer-midseniorleadprincipal/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249832/backend-software-development-engineer-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249832/backend-software-development-engineer-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249832/backend-software-development-engineer-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249832/backend-software-development-engineer-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "52b0f2a43d058092497fb372d420aaba",
      "title": "Principal Engineer Conversational AI",
      "employer_name": "CVS Health Corporation",
      "employer_slug": "cvs-health",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-01T00:00:00.000Z",
      "apply_url": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/MA---Wellesley/Principal-Engineer-Conversational-AI_R0877731-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Engineer Conversational AI 2 Locations posted: Posted 11 Days Ago",
      "parental_leave_weeks": 4,
      "non_birth_parent_leave_weeks": 4,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave",
          "db_column": "parental_leave_weeks",
          "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "source_sector",
      "employer_size": null,
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.3127123239d9d72539",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "52b0f2a43d058092497fb372d420aaba",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:52b0f2a43d058092497fb372d420aaba:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.2d6b22e5c272afa4a4",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "52b0f2a43d058092497fb372d420aaba",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.23eeb514b6800e862e",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/MA---Wellesley/Principal-Engineer-Conversational-AI_R0877731-1",
          "source_values": [
            "https://learn.bswift.com/cvshealth-mainland/family-and-leave"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/MA---Wellesley/Principal-Engineer-Conversational-AI_R0877731-1",
          "source_values": [
            "https://learn.bswift.com/cvshealth-mainland/family-and-leave"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/MA---Wellesley/Principal-Engineer-Conversational-AI_R0877731-1",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/MA---Wellesley/Principal-Engineer-Conversational-AI_R0877731-1",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "948b77a40a788c81440c6b30420cd35e",
      "title": "Senior Analyst, Strategy & Data",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "California - San Francisco; California - San Francisco Metro - Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 118900,
      "salary_max": 163500,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 118900,
      "base_salary_max": 163500,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr343051/senior-analyst-strategy-data/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Analyst, Strategy & Data California - San Francisco; California - San Francisco Metro - Remote About the Role The Strategic Technology Partnerships (STP) team at Salesforce drives market-defining alliances with hyperscalers like AWS and Google, and AI labs like OpenAI and Anthropic. As a Strategy & Data Senior Analyst, you'll sit at the center of how STP understands, measures, and grows its business - translating complex revenue and consumption data into clear insights that shape executive decisions. This role is for someone who doesn't just analyze problems but drives them through to impact. What You'll Be Doing Lead the analysis and discovery of key sales performance and consumption metrics, including pipeline, bookings, and growth indicators Build and maintain executive-ready dashboards and data visualizations that deliver revenue and consumption insights to leadership Develop strategic recommendations based on quantitative and qualitative analysis to support high-stakes decision making Collaborate with Data Engineering and Product to curate data tables and evolve reporting infrastructure, accelerating time to insight using AI tools like Claude and Codex Partner cross-functionally with Finance, Product, and Operations to align on success metrics, target setting, and partner telemetry Monitor and analyze business trends and performance on an ongoing basis, surfacing actionable insights proactively What We're Looking For Required Qualifications 4-6 years of experience building and interpreting complex datasets in a GTM, Sales, or Product analytics context at a consulting firm or high-growth SaaS company; B2B experience preferred Strong analytical and strategic thinking skills, with demonstrated experience building models and analyzing",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 100,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 6,
      "years_experience_max": 10,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f7ad33228f5a64fd1a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "948b77a40a788c81440c6b30420cd35e",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Analyst, Strategy & Data California - San Francisco; California - San Francisco Metro - Remote About the Role The Strategic Technology Partnerships (STP) team at Salesforce drives market-defining alliances with hyperscalers like AWS and Google, and AI labs like OpenAI and Anthropic. As a Strategy & Data Senior Analyst, you'll sit at the center of how STP understands, measures, and grows its business - translating complex revenue and consumption data into clear insights that shape executive decisions. This role is for someone who doesn't just analyze problems but drives them through to impact. What You'll Be Doing Lead the analysis and discovery of key sales performance and consumption metrics, including pipeline, bookings, and growth indicators Build and maintain executive-ready dashboards and data visualizations that deliver revenue and consumption insights to leadership Develop strategic recommendations based on quantitative and qualitative analysis to support high-stakes decision making Collaborate with Data Engineering and Product to curate data tables and evolve reporting infrastructure, accelerating time to insight using AI tools like Claude and Codex Partner cross-functionally with Finance, Product, and Operations to align on success metrics, target setting, and partner telemetry Monitor and analyze business trends and performance on an ongoing basis, surfacing actionable insights proactively What We're Looking For Required Qualifications 4-6 years of experience building and interpreting complex datasets in a GTM, Sales, or Product analytics context at a consulting firm or high-growth SaaS company; B2B experience preferred Strong analytical and strategic thinking skills, with demonstrated experience building models and analyzing",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:948b77a40a788c81440c6b30420cd35e:description:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.891394878b54ee40f0",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "948b77a40a788c81440c6b30420cd35e",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description contains \"openai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Analyst, Strategy & Data California - San Francisco; California - San Francisco Metro - Remote About the Role The Strategic Technology Partnerships (STP) team at Salesforce drives market-defining alliances with hyperscalers like AWS and Google, and AI labs like OpenAI and Anthropic. As a Strategy & Data Senior Analyst, you'll sit at the center of how STP understands, measures, and grows its business - translating complex revenue and consumption data into clear insights that shape executive decisions. This role is for someone who doesn't just analyze problems but drives them through to impact. What You'll Be Doing Lead the analysis and discovery of key sales performance and consumption metrics, including pipeline, bookings, and growth indicators Build and maintain executive-ready dashboards and data visualizations that deliver revenue and consumption insights to leadership Develop strategic recommendations based on quantitative and qualitative analysis to support high-stakes decision making Collaborate with Data Engineering and Product to curate data tables and evolve reporting infrastructure, accelerating time to insight using AI tools like Claude and Codex Partner cross-functionally with Finance, Product, and Operations to align on success metrics, target setting, and partner telemetry Monitor and analyze business trends and performance on an ongoing basis, surfacing actionable insights proactively What We're Looking For Required Qualifications 4-6 years of experience building and interpreting complex datasets in a GTM, Sales, or Product analytics context at a consulting firm or high-growth SaaS company; B2B experience preferred Strong analytical and strategic thinking skills, with demonstrated experience building models and analyzing",
          "matched_input": "openai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.e65a5ea0f8fb90ab96",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "948b77a40a788c81440c6b30420cd35e",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.e8786d8f664be11033",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr343051/senior-analyst-strategy-data/",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": null
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr343051/senior-analyst-strategy-data/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr343051/senior-analyst-strategy-data/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr343051/senior-analyst-strategy-data/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr343051/senior-analyst-strategy-data/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr343051/senior-analyst-strategy-data/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr343051/senior-analyst-strategy-data/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr343051/senior-analyst-strategy-data/",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "2b4393da525b5046d60e9644ceab324b",
      "title": "Senior AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Senior-AI-Engineer_R00291250",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.c30c8b0f1148c40adf",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "2b4393da525b5046d60e9644ceab324b",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:2b4393da525b5046d60e9644ceab324b:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.c058fb3ce6d42a7b23",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "2b4393da525b5046d60e9644ceab324b",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.ba7631165a6b5d5469",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Senior-AI-Engineer_R00291250",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Senior-AI-Engineer_R00291250",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Senior-AI-Engineer_R00291250",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Senior-AI-Engineer_R00291250",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "ae426a59133ae89a7597c41355460081",
      "title": "Senior AI Engineer",
      "employer_name": "GitLab",
      "employer_slug": "gitlab",
      "location_text": "Remote, US",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 139200,
      "salary_max": 218400,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 139200,
      "base_salary_max": 218400,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-25T22:37:15.000Z",
      "apply_url": "https://job-boards.greenhouse.io/gitlab/jobs/8548545002",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://handbook.gitlab.com/handbook/total-rewards/benefits/parental-leave-toolkit/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1653482/000162828026018731/gtlb-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1653482/000162828026018731/gtlb-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://handbook.gitlab.com/handbook/total-rewards/benefits/parental-leave-toolkit/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://handbook.gitlab.com/handbook/total-rewards/benefits/parental-leave-toolkit/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": 100,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.c94fe99749d26315f5",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "ae426a59133ae89a7597c41355460081",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.a562c29f0d542294fe",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8548545002",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8548545002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8548545002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8548545002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1653482/000162828026018731/gtlb-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1653482/000162828026018731/gtlb-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8548545002",
          "source_values": [
            "https://handbook.gitlab.com/handbook/total-rewards/benefits/parental-leave-toolkit/"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8548545002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8548545002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8548545002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "9478389ec219ad4374a646e3dc664cdb",
      "title": "Senior Machine Learning Engineer",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "3 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.bff85bf2dafd17410a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "9478389ec219ad4374a646e3dc664cdb",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:9478389ec219ad4374a646e3dc664cdb:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.92d717fb5a264c0df9",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "9478389ec219ad4374a646e3dc664cdb",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.c17c73b8cc784fda8a",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "f513b60b58a176c212ac6d5ec2e3e1ac",
      "title": "AI Engineer",
      "employer_name": "GitLab",
      "employer_slug": "gitlab",
      "location_text": "Remote, US",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 108400,
      "salary_max": 129600,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 108400,
      "base_salary_max": 129600,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-29T11:49:29.000Z",
      "apply_url": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://handbook.gitlab.com/handbook/total-rewards/benefits/parental-leave-toolkit/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1653482/000162828026018731/gtlb-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1653482/000162828026018731/gtlb-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://handbook.gitlab.com/handbook/total-rewards/benefits/parental-leave-toolkit/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://handbook.gitlab.com/handbook/total-rewards/benefits/parental-leave-toolkit/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "growth-stage",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": 100,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.240d2519a67b727203",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f513b60b58a176c212ac6d5ec2e3e1ac",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.75ebc5a995e6ab25df",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1653482/000162828026018731/gtlb-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1653482/000162828026018731/gtlb-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
          "source_values": [
            "https://handbook.gitlab.com/handbook/total-rewards/benefits/parental-leave-toolkit/"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://job-boards.greenhouse.io/gitlab/jobs/8565469002",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "98fabb2c248b667551daceefc03fc7a5",
      "title": "Machine Learning Engineer",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-08T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.22df6b2c9df6cfb528",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "98fabb2c248b667551daceefc03fc7a5",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:98fabb2c248b667551daceefc03fc7a5:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.2a331160386b207a6a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "98fabb2c248b667551daceefc03fc7a5",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.749678a91f86924c95",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "27620e78ab28c3206caf9a0faf64419a",
      "title": "Software Engineer | AI Focus",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "Mexico - Mexico City",
      "country": "MX",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-03T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr336667/software-engineer-ai-focus/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Software Engineer | AI Focus Mexico - Mexico City SOFTWARE ENGINEER AI FOCUS Mexico City About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AInovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Agents and AI are fast evolving technologies. The Agentic Selling Team within Digital Experience Technology is building production AI agents that empower Salesforce's 15,000+ global sellers. As Customer Zero for Agentforce, we are at the forefront of agent development, pioneering patterns that shape how enterprises deploy AI agents. We are looking for a backend Software Engineer who enjoys a fast-paced environment, can deliver incrementally, and thinks creatively. You will work on cutting-edge agent technologies using Agentforce, Agent Script, and integrate with Salesforce CRM and Data Cloud. Your Impact: - Build and maintain agent capabilities using Agentforce Builder, Agent Script, and New Graph Architecture (NGA) serving 15,000+ internal users - Develop agent topics, skills, and conversation flows for complex sales use cases including account research, content recommendations, and sales coaching - Implement",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 89,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.07128b8dff5ffa8897",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "27620e78ab28c3206caf9a0faf64419a",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.bc565a47b249f0b6e8",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr336667/software-engineer-ai-focus/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr336667/software-engineer-ai-focus/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr336667/software-engineer-ai-focus/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr336667/software-engineer-ai-focus/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr336667/software-engineer-ai-focus/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "efb2fa102be3e3dd8df561979c167743",
      "title": "Senior AI Agent Engineer",
      "employer_name": "GE Vernova",
      "employer_slug": "ge-vernova",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Cambridge/Sr-AI-Agent-Engineer_R5025220-2",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Agent Engineer 2 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 10,
      "non_birth_parent_leave_weeks": 10,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 85,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.405bfd1f18d764941f",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "efb2fa102be3e3dd8df561979c167743",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:efb2fa102be3e3dd8df561979c167743:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.822cdcb5501eef8655",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "efb2fa102be3e3dd8df561979c167743",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.7cd17cb4f513a97660",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Cambridge/Sr-AI-Agent-Engineer_R5025220-2",
          "source_values": [
            "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Cambridge/Sr-AI-Agent-Engineer_R5025220-2",
          "source_values": [
            "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Cambridge/Sr-AI-Agent-Engineer_R5025220-2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Cambridge/Sr-AI-Agent-Engineer_R5025220-2",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "ec726463e49c7a651aa3e31e1e11478e",
      "title": "Distributed Systems Software Engineer - Public Cloud (Mid/Senior/Lead/Principal)",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "California - San Francisco; New York - New York; Washington - Bellevue",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 141200,
      "salary_max": 344700,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 141200,
      "base_salary_max": 344700,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-27T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Distributed Systems Software Engineer - Public Cloud (Mid/Senior/Lead/Principal) California - San Francisco; New York - New York; Washington - Bellevue Distributed Systems Software Engineer - Public Cloud (Senior/Lead/Principal) Note: By applying to the Public Cloud - Distributed Systems Software Engineer posting, recruiters and hiring managers across the organization hiring software engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. *IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES * Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems. This role also requires Advanced prompt engineering skills - the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. Your Impact: Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba Designing, developing, debugging, and",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 93,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 12,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.6ec28a46d5f7d3497c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "ec726463e49c7a651aa3e31e1e11478e",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.3c267f203369050da5",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr249834/distributed-systems-software-engineer-public-cloud-midseniorleadprincipal/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        }
      }
    },
    {
      "id": "086a49e56c752e8a1819fd92dfd44fa9",
      "title": "Machine Learning Engineer",
      "employer_name": "CyberArk",
      "employer_slug": "cyberark",
      "location_text": "Office - USA - CA - Headquarters",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Machine-Learning-Engineer_JR-010194",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.c360873079f7d379b6",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "086a49e56c752e8a1819fd92dfd44fa9",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:086a49e56c752e8a1819fd92dfd44fa9:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.1f6fc013e1e927f66a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "086a49e56c752e8a1819fd92dfd44fa9",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.2523cd887439069138",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Machine-Learning-Engineer_JR-010194",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Machine-Learning-Engineer_JR-010194",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "170379540ed9e23b627bc860d1c61084",
      "title": "SMTS/LMTS Full Stack Software Engineer, Tableau Next",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "California - San Francisco; Washington - Seattle",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 178900,
      "salary_max": 285800,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 178900,
      "base_salary_max": 285800,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "SMTS/LMTS Full Stack Software Engineer, Tableau Next California - San Francisco; Washington - Seattle We are part of the Tableau organization, driven by a mission to help people see, understand, and act on data. Our goal is to empower users by transforming complex data into clear, visual insights that drive informed decision-making.Our team is shaping the next generation of analytics, delivering seamless, interactive visualization experiences embedded directly into user workflows and integrated with modern platforms to enhance engagement and collaboration. We strive to support effective decision-making and enable timely actions through intuitive and powerful analytics tools. Beyond serving data professionals, we have a unique opportunity to innovate with Generative AI-powered intelligence experiences designed for business users. This enables organizations to extend the reach of data-driven insights to a significantly broader audience, making data more accessible and actionable than ever before. We are seeking a Senior/Lead Software Engineer to play a pivotal role in shaping the Agentic and Visualization Experiences for the next-generation of Tableau(aka Tableau Next). In this role, you will drive the design and development of high-performance, scalable, and extensible platforms, enabling seamless and interactive analytical experiences.You will collaborate closely with UX designers, backend engineers, and product teams to create intuitive, insightful, and visually compelling analytics solutions. If you're passionate about data visualization, graphics performance, and Agentic Analytics, this is an opportunity to make a significant impact on the future of analytics and data storytelling. Responsibilities: Architect and develop core visualization components and frameworks for the next-gen Tableau product,",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 93,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 6,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.53ec02263e2cc745a4",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "170379540ed9e23b627bc860d1c61084",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.9a563f77f414fc1022",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "7779491d52294cf236b0fe964c61d418",
      "title": "Sr Machine Learning Engineer",
      "employer_name": "Amgen",
      "employer_slug": "amgen",
      "location_text": "India - Hyderabad",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Sr-Machine-Learning-Engineer_R-216773",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.c18550eb617dbbb200",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7779491d52294cf236b0fe964c61d418",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:7779491d52294cf236b0fe964c61d418:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.ba6e9f7489370eb938",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7779491d52294cf236b0fe964c61d418",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.f7b6c1a7d1f7485758",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Sr-Machine-Learning-Engineer_R-216773",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Sr-Machine-Learning-Engineer_R-216773",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Sr-Machine-Learning-Engineer_R-216773",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Sr-Machine-Learning-Engineer_R-216773",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "170379540ed9e23b627bc860d1c61084",
      "title": "SMTS/LMTS Full Stack Software Engineer, Tableau Next",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "California - San Francisco; Washington - Seattle",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 178900,
      "salary_max": 285800,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 178900,
      "base_salary_max": 285800,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "SMTS/LMTS Full Stack Software Engineer, Tableau Next California - San Francisco; Washington - Seattle We are part of the Tableau organization, driven by a mission to help people see, understand, and act on data. Our goal is to empower users by transforming complex data into clear, visual insights that drive informed decision-making.Our team is shaping the next generation of analytics, delivering seamless, interactive visualization experiences embedded directly into user workflows and integrated with modern platforms to enhance engagement and collaboration. We strive to support effective decision-making and enable timely actions through intuitive and powerful analytics tools. Beyond serving data professionals, we have a unique opportunity to innovate with Generative AI-powered intelligence experiences designed for business users. This enables organizations to extend the reach of data-driven insights to a significantly broader audience, making data more accessible and actionable than ever before. We are seeking a Senior/Lead Software Engineer to play a pivotal role in shaping the Agentic and Visualization Experiences for the next-generation of Tableau(aka Tableau Next). In this role, you will drive the design and development of high-performance, scalable, and extensible platforms, enabling seamless and interactive analytical experiences.You will collaborate closely with UX designers, backend engineers, and product teams to create intuitive, insightful, and visually compelling analytics solutions. If you're passionate about data visualization, graphics performance, and Agentic Analytics, this is an opportunity to make a significant impact on the future of analytics and data storytelling. Responsibilities: Architect and develop core visualization components and frameworks for the next-gen Tableau product,",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 93,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 6,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.53ec02263e2cc745a4",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "170379540ed9e23b627bc860d1c61084",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.9a563f77f414fc1022",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr342389/smtslmts-full-stack-software-engineer-tableau-next/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "e8b68f1a6584eb7abce5d468cfa81aea",
      "title": "Lead AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00296631",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Today",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.831cb2f925c3290c37",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "e8b68f1a6584eb7abce5d468cfa81aea",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:e8b68f1a6584eb7abce5d468cfa81aea:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.e66b04dae803c8fd57",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "e8b68f1a6584eb7abce5d468cfa81aea",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.756d5ada6160d9757c",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00296631",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00296631",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00296631",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00296631",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "d4b416c0cc6da4f46fe3138b41144704",
      "title": "AI Engineer",
      "employer_name": "Carrier Global",
      "employer_slug": "carrier-global",
      "location_text": "Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://carrier.wd5.myworkdayjobs.com/Jobs/job/Ecospace-Campus-3A-4th-Floor-Outer-Ring-Road-Bellandur-Bengaluru--560103/AI-Engineer_30200750",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103 posted: Posted Yesterday",
      "parental_leave_weeks": 8,
      "non_birth_parent_leave_weeks": 8,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.corporate.carrier.com/careers/work-with-us/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 81,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1783180/000178318026000008/carr-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1783180/000178318026000008/carr-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.corporate.carrier.com/careers/work-with-us/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.corporate.carrier.com/careers/work-with-us/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.corporate.carrier.com/careers/work-with-us/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.corporate.carrier.com/careers/work-with-us/"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.dd0d73f5e6697f67ec",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "d4b416c0cc6da4f46fe3138b41144704",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:d4b416c0cc6da4f46fe3138b41144704:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.acbb1ae97c5fc95f55",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "d4b416c0cc6da4f46fe3138b41144704",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.54435e32fbba679e89",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1783180/000178318026000008/carr-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1783180/000178318026000008/carr-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://carrier.wd5.myworkdayjobs.com/Jobs/job/Ecospace-Campus-3A-4th-Floor-Outer-Ring-Road-Bellandur-Bengaluru--560103/AI-Engineer_30200750",
          "source_values": [
            "https://www.corporate.carrier.com/careers/work-with-us/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://carrier.wd5.myworkdayjobs.com/Jobs/job/Ecospace-Campus-3A-4th-Floor-Outer-Ring-Road-Bellandur-Bengaluru--560103/AI-Engineer_30200750",
          "source_values": [
            "https://www.corporate.carrier.com/careers/work-with-us/"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://carrier.wd5.myworkdayjobs.com/Jobs/job/Ecospace-Campus-3A-4th-Floor-Outer-Ring-Road-Bellandur-Bengaluru--560103/AI-Engineer_30200750",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://carrier.wd5.myworkdayjobs.com/Jobs/job/Ecospace-Campus-3A-4th-Floor-Outer-Ring-Road-Bellandur-Bengaluru--560103/AI-Engineer_30200750",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "48684bf6750b371a2caabf85d7dc0af7",
      "title": "Sr. AI Partner Solution Architect, ANZ Partner Team",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Sydney, New South Wales, AUS",
      "country": "AU",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-02T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. AI Partner Solution Architect, ANZ Partner Team Sydney, New South Wales, AUS Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a Senior AI Partner Solutions Architect (PSA) to join our ANZ Partner Solutions Architecture team. In this role, you will be a strategic member of the team, working directly with our most strategic consulting and technology partners to accelerate Generative AI, Agentic AI, and ML adoption across Australia and New Zealand. As a Sr. AI Partner Solutions Architect, you will act as a trusted technical advisor to partners and their customers, converting AI ambition into programs and assets that can be delivered, operated, and scaled in production environments. You will combine deep AI/ML expertise with strong relationship-building skills to define cloud-native GenAI and Agentic AI architectural patterns, shape partners' AI technical strategies, and drive measurable customer outcomes through partner solutions. The ideal candidate will possess an expansive hands-on experience designing and implementing production AI systems, along with demonstrated ability to influence technical and business decision-makers. You will think strategically about how emerging AI capabilities can solve real-world business challenges, and act as a thought leader whom partners and customers are eager to engage with. Key job responsibilities - Own the technical AI/ML relationship with our most strategic partners in ANZ, acting as their trusted advisor on Generative AI, Agentic AI, and ML adoption, architecture, and go-to-market strategy. - Architect scalable AI/ML solutions with partners using AWS services, guiding designs from ideation through",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.0def3eabe85fe185ef",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "48684bf6750b371a2caabf85d7dc0af7",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.361cf8d3f40528ea00",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10436619/sr-ai-partner-solution-architect-anz-partner-team",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "57bcf4186f79592993bce2ebef00db8d",
      "title": "Distributed Systems Software Engineer, GovCloud - Senior/Lead",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "California - San Francisco; Virginia - Herndon; Washington - Bellevue; Colorado - Denver",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 178900,
      "salary_max": 285800,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 178900,
      "base_salary_max": 285800,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-23T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Distributed Systems Software Engineer, GovCloud - Senior/Lead California - San Francisco; Virginia - Herndon; Washington - Bellevue; Colorado - Denver Must be a U.S. Citizen operating on U.S. Soil with ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan. Due to the citizenship requirement for this role, which supports U.S. federal, state, and/or local government customers, citizenship will be verified through two of the following REAL ID Act documents: U.S. Passport, Passport Card, REAL Driver's License, Global Entry Card, U.S. Government CAC/PIV. Distributed Systems Software Engineer - GovCloud (Senior/Lead) Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems. This role requires advanced prompt engineering skills - the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. Your Impact: Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 93,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "us_citizenship_required": {
          "field": "us_citizenship_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "us_citizenship_required"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": true,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.ad8d6db76608e410c7",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "57bcf4186f79592993bce2ebef00db8d",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.92c3ed47fd84c2663c",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr333480/distributed-systems-software-engineer-govcloud-seniorlead/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        }
      }
    },
    {
      "id": "7c46fc35e4cef9909a23ceba4c8992b6",
      "title": "AI Research Scientist",
      "employer_name": "Motorola Solutions, Inc.",
      "employer_slug": "motorola-solutions",
      "location_text": "Bangalore, India (ZIN122)",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Bangalore-India-ZIN122/AI-Research-Scientist_R64110",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Research Scientist Bangalore, India (ZIN122) posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 13,
      "non_birth_parent_leave_weeks": 13,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.motorolasolutions.com/-/media/Mercer/OE_Motorola/Documents/MSI-Leave-Policies-Combined-August-2020.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/68505/000006850526000010/msi-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/68505/000006850526000010/msi-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.motorolasolutions.com/-/media/Mercer/OE_Motorola/Documents/MSI-Leave-Policies-Combined-August-2020.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.motorolasolutions.com/-/media/Mercer/OE_Motorola/Documents/MSI-Leave-Policies-Combined-August-2020.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.motorolasolutions.com/-/media/Mercer/OE_Motorola/Documents/MSI-Leave-Policies-Combined-August-2020.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.motorolasolutions.com/-/media/Mercer/OE_Motorola/Documents/MSI-Leave-Policies-Combined-August-2020.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.32208e0e867a46d37c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7c46fc35e4cef9909a23ceba4c8992b6",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:7c46fc35e4cef9909a23ceba4c8992b6:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.49c7c2939f72fb64a4",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7c46fc35e4cef9909a23ceba4c8992b6",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.aa2e4b466eacf73d88",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/68505/000006850526000010/msi-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/68505/000006850526000010/msi-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Bangalore-India-ZIN122/AI-Research-Scientist_R64110",
          "source_values": [
            "https://benefits.motorolasolutions.com/-/media/Mercer/OE_Motorola/Documents/MSI-Leave-Policies-Combined-August-2020.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Bangalore-India-ZIN122/AI-Research-Scientist_R64110",
          "source_values": [
            "https://benefits.motorolasolutions.com/-/media/Mercer/OE_Motorola/Documents/MSI-Leave-Policies-Combined-August-2020.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Bangalore-India-ZIN122/AI-Research-Scientist_R64110",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Bangalore-India-ZIN122/AI-Research-Scientist_R64110",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "549511bb8a872b123e95529cc3ab45b6",
      "title": "AI Transformation Consultant",
      "employer_name": "Fiserv",
      "employer_slug": "fiserv",
      "location_text": "Omaha, Nebraska",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-01T00:00:00.000Z",
      "apply_url": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Omaha-Nebraska/Software-Development-Engineering---Advisor-II_R-10374510",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Transformation Consultant Omaha, Nebraska posted: Posted 11 Days Ago",
      "parental_leave_weeks": 12,
      "non_birth_parent_leave_weeks": 2,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 69,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/798354/000079835426000009/fi-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/798354/000079835426000009/fi-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Finance",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.82a0af41dea10ef340",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "549511bb8a872b123e95529cc3ab45b6",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:549511bb8a872b123e95529cc3ab45b6:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.4a6cb4dbcc83e42dbc",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "549511bb8a872b123e95529cc3ab45b6",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.59631534e5c52789cc",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": null,
      "k401_contribution_source_label": null,
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/798354/000079835426000009/fi-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/798354/000079835426000009/fi-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Omaha-Nebraska/Software-Development-Engineering---Advisor-II_R-10374510",
          "source_values": [
            "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Omaha-Nebraska/Software-Development-Engineering---Advisor-II_R-10374510",
          "source_values": [
            "https://www.fiserv.com/content/dam/fiserv-ent/final-files/marketing-collateral/documents-handouts-flyers/2024-csr-report-0425.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Omaha-Nebraska/Software-Development-Engineering---Advisor-II_R-10374510",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://fiserv.wd5.myworkdayjobs.com/EXT/job/Omaha-Nebraska/Software-Development-Engineering---Advisor-II_R-10374510",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "c0e464376b1bc6c52b210db4eb36c2ef",
      "title": "Sr. AI Solution Architect",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Buenos Aires City, Buenos Aires Autonomous City, ARG",
      "country": "AR",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-18T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. AI Solution Architect Buenos Aires City, Buenos Aires Autonomous City, ARG Amazon Web Services (AWS) is leading the next phase of AI adoption and seeking a hands-on AI Specialist Solutions Architect (SSA) to help customers transform AI ambition into production-ready solutions. As part of the AWS sales organization, you'll work with customers facing complex AI/ML challenges that require expert-level knowledge. You'll craft scalable, flexible, and resilient technical architectures while serving as a trusted advisor throughout their generative AI and agentic AI journey. Key job responsibilities • Build trusted technical relationships with customers of all sizes, serving as their advisor for GenAI/ML and Agentic AI adoption across their cloud journey • Manage technical relationships between AWS and customers, providing recommendations on security, cost, performance, reliability, and operational efficiency to accelerate AI/ML projects • Act as voice of customer internally, sharing feedback and requirements to influence the AWS GenAI/ML and Agentic features roadmap • Design cloud-native architectures that link technology to tangible solutions, defining GenAI/ML and Agentic architectural patterns for diverse use cases • Create and share technical content including whitepapers, code samples, blog posts, and reference architectures; evangelize AWS AI capabilities through workshops, conferences, meetups, and online channels • Lead technical deep dives and workshops, contributing reusable code, reference architectures, and technical assets for the broader engineering organization A day in the life Your day will be a dynamic blend of technical problem-solving and strategic collaboration. You'll engage with customers across diverse industries, diving deep into their unique AI challenges",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 4,
      "years_experience_max": 8,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.4371121d72b03a9a04",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c0e464376b1bc6c52b210db4eb36c2ef",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.f09947aa0f01f41334",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3208378/sr-ai-solution-architect",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "5584cc5b24e19de5f84d4f0f8e755de5",
      "title": "Senior, Member of Technical Staff",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "Indiana - Indianapolis; Texas - Dallas",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-09T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr344301/senior-member-of-technical-staff/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior, Member of Technical Staff Indiana - Indianapolis; Texas - Dallas Agents and AI are fast evolving technologies. The Agentic Selling Team within Digital Experience Technology is building production AI agents that transform how Salesforce's global sales organization operates. As Customer Zero for Agentforce, we pioneer agent development patterns that influence product strategy and define enterprise AI standards. We are looking for a Senior Software Engineer who thrives in a fast-paced environment, delivers high-quality solutions independently, and drives technical excellence. You will architect and build sophisticated agent systems using Agentforce, Agent Script, and New Graph Architecture while integrating with Salesforce CRM, Data Cloud, and external platforms. The Experience Design and build sophisticated agent architectures using Agentforce Builder, Agent Script, and NGA for production systems serving 15,000+ users Architect multi-node agent orchestration, sub-agent patterns, and agentic workflows for complex sales use cases. Lead implementation of agent memory systems, context management, and conversation state handling for personalized experiences Develop and optimize RAG patterns, retrieval strategies, and prompt engineering techniques to improve agent quality and accuracy Build scalable integrations connecting agents to Salesforce Data Cloud, Einstein, MuleSoft, and external APIs and MCP. Design and implement content ingestion pipelines processing structured and unstructured data (PDFs, web content, documents) for agent knowledge bases Drive platform migrations (e.g., Graph to Agent Script, legacy to NGA) while maintaining zero downtime for production systems Implement agent observability, monitoring, and debugging capabilities to track conversation quality and user satisfaction Mentor junior engineers through code reviews, technical guidance, and knowledge",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 89,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 6,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.1791a2f933e8ed1ad2",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5584cc5b24e19de5f84d4f0f8e755de5",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.6d3892c64712e00cbd",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344301/senior-member-of-technical-staff/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344301/senior-member-of-technical-staff/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344301/senior-member-of-technical-staff/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344301/senior-member-of-technical-staff/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "8a890b2edda16023277714fac0190997",
      "title": "Principal Machine Learning Engineer",
      "employer_name": "Amgen",
      "employer_slug": "amgen",
      "location_text": "India - Hyderabad",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Principal-Data-Scientist_R-235900",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.089c84678a982423dd",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8a890b2edda16023277714fac0190997",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:8a890b2edda16023277714fac0190997:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.d13e7fcc23a6dcb37c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8a890b2edda16023277714fac0190997",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.c92e5bfce7c4d71029",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Principal-Data-Scientist_R-235900",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Principal-Data-Scientist_R-235900",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Principal-Data-Scientist_R-235900",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Principal-Data-Scientist_R-235900",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "6319580c39d804b9e69f797236dacc06",
      "title": "Lead Member of Technical Staff",
      "employer_name": "Salesforce",
      "employer_slug": "salesforce",
      "location_text": "Indiana - Indianapolis; Texas - Dallas",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://careers.salesforce.com/en/jobs/jr344298/lead-member-of-technical-staff/",
      "apply_url_verified": false,
      "ats": "phenom_umbraco",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead Member of Technical Staff Indiana - Indianapolis; Texas - Dallas The Experience: Agents and AI are fast evolving technologies. The Agentic Selling Team within Digital Experience Technology is building production AI agents that revolutionize how Salesforce's global sales organization operates. As Customer Zero for Agentforce, we lead the industry in agent development, pioneering architectural patterns that shape Agentforce products and define the future of enterprise AI agents. We are looking for a Lead Software Engineer who excels in technical leadership, drives architectural decisions, and shapes the technical direction of our agent platform. You will architect sophisticated multi-agent systems using Agentforce, influence product roadmaps, mentor senior engineers, and establish technical standards for agent development at Salesforce. What You'll Actually Be Doing Architect and lead development of sophisticated agent systems using Agentforce, Agent Script, and New Graph Architecture (NGA) serving 15,000+ users with enterprise-grade reliability Drive technical strategy for the Sales Agent platform including agent memory architecture, RAG patterns, LLM optimization, multi-agent orchestration, and agent-to-agent communication protocols Lead Customer Zero initiatives working directly with Agentforce platform and product teams to validate new capabilities, provide architectural feedback, and influence product roadmaps Design and build production AI agents handling complex Seller use cases: Architect and execute critical platform migrations (Graph to Agent Script, legacy to NGA, Java to Python agents) maintaining zero downtime for production systems Establish agent observability and quality frameworks including monitoring, analytics, debugging tools, conversation quality metrics, and user satisfaction tracking Drive innovation in agent memory systems, retrieval augmentation techniques,",
      "parental_leave_weeks": 26,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 89,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.5bfbf2bbbd203b7a11",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "6319580c39d804b9e69f797236dacc06",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.fd703093ad3e17b5d8",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1108524/000110852426000060/crm-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344298/lead-member-of-technical-staff/",
          "source_values": [
            "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344298/lead-member-of-technical-staff/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344298/lead-member-of-technical-staff/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.salesforce.com/en/jobs/jr344298/lead-member-of-technical-staff/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "03adef5dfddd9224f1844db1c5f5eb5b",
      "title": "AI Engineer",
      "employer_name": "Leidos",
      "employer_slug": "leidos",
      "location_text": "San Diego, CA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-26T00:00:00.000Z",
      "apply_url": "https://leidos.wd5.myworkdayjobs.com/External/job/San-Diego-CA/AI-Engineer_R-00184074",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer San Diego, CA posted: Posted 17 Days Ago",
      "parental_leave_weeks": 4,
      "non_birth_parent_leave_weeks": 4,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.leidos.com/careers/pay-benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 73,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.leidos.com/careers/pay-benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.leidos.com/careers/pay-benefits"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.leidos.com/careers/pay-benefits",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.leidos.com/careers/pay-benefits"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Defense",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.2e7b25f139201346e7",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "03adef5dfddd9224f1844db1c5f5eb5b",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:03adef5dfddd9224f1844db1c5f5eb5b:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.1324a2ba54eadc2015",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "03adef5dfddd9224f1844db1c5f5eb5b",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.ea80ce24937cd4c675",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://leidos.wd5.myworkdayjobs.com/External/job/San-Diego-CA/AI-Engineer_R-00184074",
          "source_values": [
            "https://www.leidos.com/careers/pay-benefits"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://leidos.wd5.myworkdayjobs.com/External/job/San-Diego-CA/AI-Engineer_R-00184074",
          "source_values": [
            "https://www.leidos.com/careers/pay-benefits"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://leidos.wd5.myworkdayjobs.com/External/job/San-Diego-CA/AI-Engineer_R-00184074",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://leidos.wd5.myworkdayjobs.com/External/job/San-Diego-CA/AI-Engineer_R-00184074",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "7c06c141bf3af5b0ddf388cec2269768",
      "title": "Principal Software Engineer – AI-Native Platform Engineering",
      "employer_name": "Oracle",
      "employer_slug": "oracle",
      "location_text": "United States, US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 99600,
      "salary_max": 234600,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 99600,
      "base_salary_max": 234600,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-04T00:00:00.000Z",
      "apply_url": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
      "apply_url_verified": false,
      "ats": "oracle_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Software Engineer – AI-Native Platform Engineering United States, US Join Oracle's Health Data Intelligence (HDI) team as a Principal Software Engineer, where you will design and build the next generation of cloud-native platforms, distributed systems, and intelligent automation solutions that power large-scale healthcare analytics. This role is ideal for engineers who enjoy solving complex software engineering challenges at scale. You will develop highly available services, reliability platforms, observability systems, automation frameworks, and AI-powered operational tooling that enable mission-critical analytics workloads across Oracle Cloud Infrastructure and multi-cloud environments. You will partner with product, platform, data, and reliability teams to build scalable software systems that process massive datasets, improve developer productivity, automate operational workflows, and enhance platform resilience. As Oracle continues investing in AI-native infrastructure, you will help drive the adoption of Generative AI and agent-based technologies to build intelligent operational platforms, self-service infrastructure solutions, and autonomous reliability capabilities. U.S. citizenship is required for this position, as the successful candidate will be required to obtain and maintain a U.S. government security clearance after hire. Required Skills Software Engineering Strong software development experience in Python, Java, Go (Golang), or similar languages Strong hands-on system design experience with the ability to architect and build large-scale distributed systems Demonstrated expertise writing high-quality, maintainable, testable, and production-grade code Strong understanding of software architecture, design patterns, and engineering best practices Experience developing cloud-native applications, microservices, and platform services Experience leading technical design discussions, architecture reviews, and complex engineering initiatives Distributed Systems & Platform Engineering Experience building",
      "parental_leave_weeks": 0,
      "non_birth_parent_leave_weeks": 14,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.oracle.com/careers/culture/benefits/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 94,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "parental_leave_weeks"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.oracle.com/careers/culture/benefits/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.oracle.com/careers/culture/benefits/"
        }
      },
      "seniority": "principal",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 10,
      "years_experience_max": 12,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": true,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.5f2d351dbc0ff0ba4a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7c06c141bf3af5b0ddf388cec2269768",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.969f37d666b98a376f",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
          "source_values": [
            "https://www.oracle.com/careers/culture/benefits/"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/335759/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        }
      }
    },
    {
      "id": "caafcd46441a519054a8af0b9a2944fd",
      "title": "Sr. AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Sr-AI-Engineer_R00296630",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Today",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.bed89313b7a5e146b5",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "caafcd46441a519054a8af0b9a2944fd",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:caafcd46441a519054a8af0b9a2944fd:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.7bb9956188544ccb1d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "caafcd46441a519054a8af0b9a2944fd",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.8be9842b952ea57bbc",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Sr-AI-Engineer_R00296630",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Sr-AI-Engineer_R00296630",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Sr-AI-Engineer_R00296630",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Sr-AI-Engineer_R00296630",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "dc1059e5fabd81b3e147f76eb3923060",
      "title": "AI Accelerator Solutions Engineer",
      "employer_name": "Oracle",
      "employer_slug": "oracle",
      "location_text": "Nashville, TN, United States, US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 90100,
      "salary_max": 199500,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 90100,
      "base_salary_max": 199500,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
      "apply_url_verified": false,
      "ats": "oracle_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Accelerator Solutions Engineer Nashville, TN, United States, US The AI Accelerator Solutions Engineer helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines business analysis, financial/operational judgment, AI tooling fluency, stakeholder support, and practical documentation. Responsibilities Partner with stakeholders to understand file-based workflows, pain points, business logic, and desired outcomes Translate ambiguous business processes into structured AI-assisted workflows Use approved AI tools, prompts, skills, scripts, templates, and lightweight automation to support workflow delivery Validate outputs against source files, known-good examples, business rules, and reasonableness checks Document repeatable workflows, human review points, assumptions, limitations, and handoff instructions Support stakeholder adoption through guidance, troubleshooting, office hours, reusable examples, and playbooks Identify recurring barriers, tool gaps, and opportunities for reusable Biz Ops AI patterns Escalate platform, governance, connector, or security issues to the appropriate AI-first, IT, or enterprise support teams Must-Have Qualifications 1-3+ years of experience in business operations, finance, data analysis, consulting, technical support, or a related analytical role Strong structured thinking and ability to break messy workflows into clear steps Strong Excel and file-based analysis skills Business or financial reasonableness judgment Hands-on fluency using AI tools to structure work, analyze files, generate reusable instructions, and validate outputs Clear written communication and documentation habits Comfort working with scripts, prompts, structured files, templates, and repeatable workflow assets Preferred Qualifications Experience with OpenAI/Codex-style tools Familiarity with reusable AI skills, agents, prompts, playbooks, or workflow templates Exposure to Python, SQL, JSON/YAML, markdown, or",
      "parental_leave_weeks": 14,
      "non_birth_parent_leave_weeks": 14,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.oracle.com/careers/culture/benefits/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 94,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.oracle.com/careers/culture/benefits/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.oracle.com/careers/culture/benefits/"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.oracle.com/careers/culture/benefits/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.oracle.com/careers/culture/benefits/"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.aeb06f4929ede5808a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "dc1059e5fabd81b3e147f76eb3923060",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description matched \"openai\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "AI Accelerator Solutions Engineer Nashville, TN, United States, US The AI Accelerator Solutions Engineer helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines business analysis, financial/operational judgment, AI tooling fluency, stakeholder support, and practical documentation. Responsibilities Partner with stakeholders to understand file-based workflows, pain points, business logic, and desired outcomes Translate ambiguous business processes into structured AI-assisted workflows Use approved AI tools, prompts, skills, scripts, templates, and lightweight automation to support workflow delivery Validate outputs against source files, known-good examples, business rules, and reasonableness checks Document repeatable workflows, human review points, assumptions, limitations, and handoff instructions Support stakeholder adoption through guidance, troubleshooting, office hours, reusable examples, and playbooks Identify recurring barriers, tool gaps, and opportunities for reusable Biz Ops AI patterns Escalate platform, governance, connector, or security issues to the appropriate AI-first, IT, or enterprise support teams Must-Have Qualifications 1-3+ years of experience in business operations, finance, data analysis, consulting, technical support, or a related analytical role Strong structured thinking and ability to break messy workflows into clear steps Strong Excel and file-based analysis skills Business or financial reasonableness judgment Hands-on fluency using AI tools to structure work, analyze files, generate reusable instructions, and validate outputs Clear written communication and documentation habits Comfort working with scripts, prompts, structured files, templates, and repeatable workflow assets Preferred Qualifications Experience with OpenAI/Codex-style tools Familiarity with reusable AI skills, agents, prompts, playbooks, or workflow templates Exposure to Python, SQL, JSON/YAML, markdown, or",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:dc1059e5fabd81b3e147f76eb3923060:description:openai",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7b5853213ebacfd491",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "dc1059e5fabd81b3e147f76eb3923060",
          "signal_type": "query_match",
          "display_text": "Description: \"openai\"",
          "tooltip": "Description contains \"openai\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "AI Accelerator Solutions Engineer Nashville, TN, United States, US The AI Accelerator Solutions Engineer helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines business analysis, financial/operational judgment, AI tooling fluency, stakeholder support, and practical documentation. Responsibilities Partner with stakeholders to understand file-based workflows, pain points, business logic, and desired outcomes Translate ambiguous business processes into structured AI-assisted workflows Use approved AI tools, prompts, skills, scripts, templates, and lightweight automation to support workflow delivery Validate outputs against source files, known-good examples, business rules, and reasonableness checks Document repeatable workflows, human review points, assumptions, limitations, and handoff instructions Support stakeholder adoption through guidance, troubleshooting, office hours, reusable examples, and playbooks Identify recurring barriers, tool gaps, and opportunities for reusable Biz Ops AI patterns Escalate platform, governance, connector, or security issues to the appropriate AI-first, IT, or enterprise support teams Must-Have Qualifications 1-3+ years of experience in business operations, finance, data analysis, consulting, technical support, or a related analytical role Strong structured thinking and ability to break messy workflows into clear steps Strong Excel and file-based analysis skills Business or financial reasonableness judgment Hands-on fluency using AI tools to structure work, analyze files, generate reusable instructions, and validate outputs Clear written communication and documentation habits Comfort working with scripts, prompts, structured files, templates, and repeatable workflow assets Preferred Qualifications Experience with OpenAI/Codex-style tools Familiarity with reusable AI skills, agents, prompts, playbooks, or workflow templates Exposure to Python, SQL, JSON/YAML, markdown, or",
          "matched_input": "openai",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.29bf71c799eaa751d8",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "dc1059e5fabd81b3e147f76eb3923060",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.94773b004bf6715f98",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
          "source_values": [
            "https://www.oracle.com/careers/culture/benefits/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
          "source_values": [
            "https://www.oracle.com/careers/culture/benefits/"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/332325/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-05-07"
        }
      }
    },
    {
      "id": "3d12636777e5b779fd757c85b74a2eef",
      "title": "Staff Machine Learning Engineer - Edge AI",
      "employer_name": "Samsara",
      "employer_slug": "samsara",
      "location_text": "Remote - US",
      "country": "US",
      "employment_type": "full_time",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 178640,
      "salary_max": 319000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "total_comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 178640,
      "base_salary_max": 319000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": true,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Machine Learning Engineer - Edge AI Remote - US Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally. You will work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features, services, and optimizations. This is a remote position open to candidates residing",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.samsara.com/company/careers/benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.samsara.com/company/careers/benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.samsara.com/company/careers/benefits"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "learning_budget_offered": {
          "field": "learning_budget_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "learning_budget_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "1001-5000",
      "quality_score": 55,
      "travel_pct": 5,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.e13db4dd3c17bea089",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "3d12636777e5b779fd757c85b74a2eef",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:3d12636777e5b779fd757c85b74a2eef:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.293ccb4ca13d14495d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "3d12636777e5b779fd757c85b74a2eef",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.6a9b2e7056c1dca072",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1642896/000162828026018167/iot-20260131.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "https://www.samsara.com/company/careers/benefits"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "learning_budget_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.samsara.com/company/careers/roles/7266357?gh_jid=7266357",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "ef0a68b42f6e31302f68813dcedb5802",
      "title": "Senior Software Engineer – AI-Native Platform Engineering",
      "employer_name": "Oracle",
      "employer_slug": "oracle",
      "location_text": "United States, US",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 79200,
      "salary_max": 209500,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 79200,
      "base_salary_max": 209500,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://careers.oracle.com/en/sites/jobsearch/job/336929/",
      "apply_url_verified": false,
      "ats": "oracle_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer – AI-Native Platform Engineering United States, US Join Oracle's Health Data Intelligence (HDI) team as a Principal Software Engineer, where you will design and build the next generation of cloud-native platforms, distributed systems, and intelligent automation solutions that power large-scale healthcare analytics. This role is ideal for engineers who enjoy solving complex software engineering challenges at scale. You will develop highly available services, reliability platforms, observability systems, automation frameworks, and AI-powered operational tooling that enable mission-critical analytics workloads across Oracle Cloud Infrastructure and multi-cloud environments. You will partner with product, platform, data, and reliability teams to build scalable software systems that process massive datasets, improve developer productivity, automate operational workflows, and enhance platform resilience. As Oracle continues investing in AI-native infrastructure, you will help drive the adoption of Generative AI and agent-based technologies to build intelligent operational platforms, self-service infrastructure solutions, and autonomous reliability capabilities. U.S. citizenship is required for this position, as the successful candidate will be required to obtain and maintain a U.S. government security clearance after hire. Required Skills Software Engineering Strong software development experience in Python, Java, Go (Golang), or similar languages Strong hands-on system design experience with the ability to architect and build large-scale distributed systems Demonstrated expertise writing high-quality, maintainable, testable, and production-grade code Strong understanding of software architecture, design patterns, and engineering best practices Experience developing cloud-native applications, microservices, and platform services Experience leading technical design discussions, architecture reviews, and complex engineering initiatives Distributed Systems & Platform Engineering Experience building",
      "parental_leave_weeks": 14,
      "non_birth_parent_leave_weeks": 14,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.oracle.com/careers/culture/benefits/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 94,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "bonus_offered": {
          "field": "bonus_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "bonus_offered"
        },
        "company_stage": {
          "field": "company_stage",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "company_stage"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "industry_vertical": {
          "field": "industry_vertical",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "industry_vertical"
        },
        "naics_sector_code": {
          "field": "naics_sector_code",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_code"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "naics_sector_title": {
          "field": "naics_sector_title",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "naics_sector_title"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.oracle.com/careers/culture/benefits/",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.oracle.com/careers/culture/benefits/"
        },
        "us_citizenship_required": {
          "field": "us_citizenship_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "us_citizenship_required"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.oracle.com/careers/culture/benefits/",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.oracle.com/careers/culture/benefits/"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": "public-company",
      "company_stage_source": "llm:greenfield:inv_371_postfix",
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": true,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.4b7df5951141781cde",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "ef0a68b42f6e31302f68813dcedb5802",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.0efc6632ddd0c83579",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/336929/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/336929/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/336929/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1341439/000095017025087926/orcl-20250531.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/336929/",
          "source_values": [
            "https://www.oracle.com/careers/culture/benefits/"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/336929/",
          "source_values": [
            "https://www.oracle.com/careers/culture/benefits/"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/336929/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/336929/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "company_stage": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://careers.oracle.com/en/sites/jobsearch/job/336929/",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        }
      }
    },
    {
      "id": "f023c16dc2e3d1c5e96e0c99a79d23a5",
      "title": "AI Agent Engineer",
      "employer_name": "GE Vernova",
      "employer_slug": "ge-vernova",
      "location_text": "Bengaluru",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-27T00:00:00.000Z",
      "apply_url": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Bengaluru/AI-Agent-Engineer_R5042488-2",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Agent Engineer Bengaluru posted: Posted 16 Days Ago",
      "parental_leave_weeks": 10,
      "non_birth_parent_leave_weeks": 10,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 85,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.b47313f5e02e066c5b",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f023c16dc2e3d1c5e96e0c99a79d23a5",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:f023c16dc2e3d1c5e96e0c99a79d23a5:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.c0bdd9af88e047e580",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f023c16dc2e3d1c5e96e0c99a79d23a5",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.62d84a209365e2f16c",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Bengaluru/AI-Agent-Engineer_R5042488-2",
          "source_values": [
            "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Bengaluru/AI-Agent-Engineer_R5042488-2",
          "source_values": [
            "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Bengaluru/AI-Agent-Engineer_R5042488-2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Bengaluru/AI-Agent-Engineer_R5042488-2",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "af7dc9da8370c099be124ccc6b3fb14c",
      "title": "Machine Learning Associate Advisor",
      "employer_name": "The Cigna Group",
      "employer_slug": "the-cigna-group",
      "location_text": "Hyderabad, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-29T00:00:00.000Z",
      "apply_url": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/Hyderabad-India/Machine-Learning-Associate-Advisor_26002348",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Associate Advisor Hyderabad, India posted: Posted 14 Days Ago",
      "parental_leave_weeks": 8,
      "non_birth_parent_leave_weeks": 8,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://jobs.thecignagroup.com/us/en/benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 81,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://jobs.thecignagroup.com/us/en/benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://jobs.thecignagroup.com/us/en/benefits"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://jobs.thecignagroup.com/us/en/benefits",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://jobs.thecignagroup.com/us/en/benefits"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.38f9ee102414e19ddf",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "af7dc9da8370c099be124ccc6b3fb14c",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:af7dc9da8370c099be124ccc6b3fb14c:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.89f47caf1a6219470d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "af7dc9da8370c099be124ccc6b3fb14c",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.19a4d645cc19c860c3",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1739940/000173994026000006/ci-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/Hyderabad-India/Machine-Learning-Associate-Advisor_26002348",
          "source_values": [
            "https://jobs.thecignagroup.com/us/en/benefits"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/Hyderabad-India/Machine-Learning-Associate-Advisor_26002348",
          "source_values": [
            "https://jobs.thecignagroup.com/us/en/benefits"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/Hyderabad-India/Machine-Learning-Associate-Advisor_26002348",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://cigna.wd5.myworkdayjobs.com/cignacareers/job/Hyderabad-India/Machine-Learning-Associate-Advisor_26002348",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "32d7d15fa36b0598f18b8ed1e31fb9df",
      "title": "Machine Learning Engineer",
      "employer_name": "Amgen",
      "employer_slug": "amgen",
      "location_text": "India - Hyderabad",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-234229",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.23f686a78a090e940b",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "32d7d15fa36b0598f18b8ed1e31fb9df",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:32d7d15fa36b0598f18b8ed1e31fb9df:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.e36ed9e12ad707f158",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "32d7d15fa36b0598f18b8ed1e31fb9df",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.b3bf5a83ad99a966bd",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-234229",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-234229",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-234229",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-234229",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "541e1c5bf54f23acff6a5e0d6b972173",
      "title": "Principal Engineer - AI/ML - Computer Vision",
      "employer_name": "Stryker Corporation",
      "employer_slug": "stryker",
      "location_text": "Bengaluru, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-Engineer---AI-ML---Computer-Vision_R563548",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Engineer - AI/ML - Computer Vision Bengaluru, India posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work",
          "db_column": "parental_leave_weeks",
          "source_url": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.5c19750c2ad9cbf3de",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "541e1c5bf54f23acff6a5e0d6b972173",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:541e1c5bf54f23acff6a5e0d6b972173:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.41edb15b3816cdf1ec",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "541e1c5bf54f23acff6a5e0d6b972173",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.79e64497fceb0d96d2",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-Engineer---AI-ML---Computer-Vision_R563548",
          "source_values": [
            "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-Engineer---AI-ML---Computer-Vision_R563548",
          "source_values": [
            "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-Engineer---AI-ML---Computer-Vision_R563548",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-Engineer---AI-ML---Computer-Vision_R563548",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "7d661648659d6842d36b72f361993398",
      "title": "Senior AI Engineer",
      "employer_name": "Abbott Laboratories",
      "employer_slug": "abbott-laboratories",
      "location_text": "United States - Illinois - Abbott Park",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T00:00:00.000Z",
      "apply_url": "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Abbott-Park/Senior-AI-Engineer_31151704",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer United States - Illinois - Abbott Park posted: Posted 2 Days Ago",
      "parental_leave_weeks": 8,
      "non_birth_parent_leave_weeks": 8,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.abbott.com/en-us/careers/benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 81,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1800/000162828026010185/abt-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1800/000162828026010185/abt-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.abbott.com/en-us/careers/benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.abbott.com/en-us/careers/benefits"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.abbott.com/en-us/careers/benefits",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.abbott.com/en-us/careers/benefits"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.9a4a2307a2ef8cfc3f",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7d661648659d6842d36b72f361993398",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:7d661648659d6842d36b72f361993398:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.2d96f9e28d1bfff823",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "7d661648659d6842d36b72f361993398",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.fd3cf9d1b32adc08c9",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1800/000162828026010185/abt-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1800/000162828026010185/abt-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Abbott-Park/Senior-AI-Engineer_31151704",
          "source_values": [
            "https://www.abbott.com/en-us/careers/benefits"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Abbott-Park/Senior-AI-Engineer_31151704",
          "source_values": [
            "https://www.abbott.com/en-us/careers/benefits"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Abbott-Park/Senior-AI-Engineer_31151704",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Abbott-Park/Senior-AI-Engineer_31151704",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "2a30650f200d14d27865d2933464ac0b",
      "title": "Machine Learning Engineer - II",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Machine-Learning-Engineer---II_R167946",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer - II 2 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.da1cd8f565272f388f",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "2a30650f200d14d27865d2933464ac0b",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:2a30650f200d14d27865d2933464ac0b:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.bfcc1790cccd6dbf6d",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "2a30650f200d14d27865d2933464ac0b",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.d342174d386da6e5eb",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Machine-Learning-Engineer---II_R167946",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Machine-Learning-Engineer---II_R167946",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Machine-Learning-Engineer---II_R167946",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Machine-Learning-Engineer---II_R167946",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "8398661d45340b639a3fab6136785ce2",
      "title": "Sr Machine Learning / AI Engineer / ML OPS Engineer",
      "employer_name": "Workday, Inc.",
      "employer_slug": "workday",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://workday.wd5.myworkdayjobs.com/Workday/job/Denmark-Copenhagen/Sr-Machine-Learning-Engineer_JR-0107655",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr Machine Learning / AI Engineer / ML OPS Engineer 2 Locations posted: Posted Today",
      "parental_leave_weeks": 12,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 89,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.5c9be91db0fa56af1f",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8398661d45340b639a3fab6136785ce2",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:8398661d45340b639a3fab6136785ce2:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.53e9afba5c61c583d8",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8398661d45340b639a3fab6136785ce2",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.818c4f9afe7c1f6886",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/Denmark-Copenhagen/Sr-Machine-Learning-Engineer_JR-0107655",
          "source_values": [
            "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/Denmark-Copenhagen/Sr-Machine-Learning-Engineer_JR-0107655",
          "source_values": [
            "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/Denmark-Copenhagen/Sr-Machine-Learning-Engineer_JR-0107655",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/Denmark-Copenhagen/Sr-Machine-Learning-Engineer_JR-0107655",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "23d6627e3e773d8d1012bc9f4ad26122",
      "title": "Lead AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00291249",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.422ebe85e221ed450c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "23d6627e3e773d8d1012bc9f4ad26122",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:23d6627e3e773d8d1012bc9f4ad26122:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.00f88b4ad838779763",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "23d6627e3e773d8d1012bc9f4ad26122",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.0c72f9282be10c507e",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00291249",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00291249",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00291249",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00291249",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "ef16a9890c102723574683c2796d4c26",
      "title": "Sr. Machine Learning Engineer",
      "employer_name": "CyberArk",
      "employer_slug": "cyberark",
      "location_text": "Office - USA - CA - Headquarters",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Sr-Machine-Learning-Engineer_JR-013400",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. Machine Learning Engineer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.0628d99945266d38e5",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "ef16a9890c102723574683c2796d4c26",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:ef16a9890c102723574683c2796d4c26:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.44c66ed35decf15aba",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "ef16a9890c102723574683c2796d4c26",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.93c6bf0b3b42b9c103",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Sr-Machine-Learning-Engineer_JR-013400",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Sr-Machine-Learning-Engineer_JR-013400",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "66d8bb8f2e8acbdce4c160fad9968c04",
      "title": "Associate Machine Learning Engineer",
      "employer_name": "Amgen",
      "employer_slug": "amgen",
      "location_text": "India - Hyderabad",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-243757",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Associate Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.96e0fbeaedb99764b3",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "66d8bb8f2e8acbdce4c160fad9968c04",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:66d8bb8f2e8acbdce4c160fad9968c04:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.0f27ca9007ebd838ce",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "66d8bb8f2e8acbdce4c160fad9968c04",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.469153d1329d558643",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-243757",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-243757",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-243757",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-243757",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "f10d19e9c2e37a2dfa7674d2da34a78e",
      "title": "Lead Responsible AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/RAI-Engineer_R00291252-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead Responsible AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.a076eec9f877d51ebb",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f10d19e9c2e37a2dfa7674d2da34a78e",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:f10d19e9c2e37a2dfa7674d2da34a78e:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.b1ea74cd4e03091320",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f10d19e9c2e37a2dfa7674d2da34a78e",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.e3b5650bbb8f83b7b8",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/RAI-Engineer_R00291252-1",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/RAI-Engineer_R00291252-1",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/RAI-Engineer_R00291252-1",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/RAI-Engineer_R00291252-1",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "fbecc792bb099d855660b2104d712598",
      "title": "Principal AI Automation Engineer",
      "employer_name": "Stryker Corporation",
      "employer_slug": "stryker",
      "location_text": "Bengaluru, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-13T00:00:00.000Z",
      "apply_url": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-AI-Engineer_R560417",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal AI Automation Engineer Bengaluru, India posted: Posted 30 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work",
          "db_column": "parental_leave_weeks",
          "source_url": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.226bdf95353df31b06",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fbecc792bb099d855660b2104d712598",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:fbecc792bb099d855660b2104d712598:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.8a6de9b7e33e8d257c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fbecc792bb099d855660b2104d712598",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.bceb4db7f6863823c5",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-AI-Engineer_R560417",
          "source_values": [
            "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-AI-Engineer_R560417",
          "source_values": [
            "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-AI-Engineer_R560417",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Bengaluru-India/Principal-AI-Engineer_R560417",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "6105b00b7afdcbad5e908fbd8e2d386f",
      "title": "Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Seoul, KOR",
      "country": "KR",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-26T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Seoul, KOR Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 7,
      "years_experience_max": 11,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.f72598dd5a064b42f9",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "6105b00b7afdcbad5e908fbd8e2d386f",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:6105b00b7afdcbad5e908fbd8e2d386f:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.3f9db1bb309cb39bb3",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "6105b00b7afdcbad5e908fbd8e2d386f",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.d862d370805da63d41",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "ac615795843bab6e061cd220e5ef6dfe",
      "title": "Principal AI Engineer (Prisma Browser - Agents Platform)",
      "employer_name": "CyberArk",
      "employer_slug": "cyberark",
      "location_text": "Office - Israel - Tel Aviv",
      "country": "IL",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-28T00:00:00.000Z",
      "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/AI-Engineer--Prisma-Browser---Agents-Platform-_JR-009239",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal AI Engineer (Prisma Browser - Agents Platform) Office - Israel - Tel Aviv posted: Posted 15 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.7a244d9bb02b74ad41",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "ac615795843bab6e061cd220e5ef6dfe",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:ac615795843bab6e061cd220e5ef6dfe:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.666e6c06c44f49c2c9",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "ac615795843bab6e061cd220e5ef6dfe",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.270ae510be35fd8195",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/AI-Engineer--Prisma-Browser---Agents-Platform-_JR-009239",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/AI-Engineer--Prisma-Browser---Agents-Platform-_JR-009239",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "8b916600c629d7f11a4810120a39eb3f",
      "title": "Senior Machine Learning Engineer",
      "employer_name": "Workday, Inc.",
      "employer_slug": "workday",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://workday.wd5.myworkdayjobs.com/Workday/job/Canada-ON-Toronto/Senior-Machine-Learning-Engineer_JR-0106107",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 12,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 89,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.713bc033a3f5f9b8d3",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8b916600c629d7f11a4810120a39eb3f",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:8b916600c629d7f11a4810120a39eb3f:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.ee105e3d301fe6b553",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "8b916600c629d7f11a4810120a39eb3f",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.35e1557327c3bf12e6",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/Canada-ON-Toronto/Senior-Machine-Learning-Engineer_JR-0106107",
          "source_values": [
            "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/Canada-ON-Toronto/Senior-Machine-Learning-Engineer_JR-0106107",
          "source_values": [
            "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/Canada-ON-Toronto/Senior-Machine-Learning-Engineer_JR-0106107",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/Canada-ON-Toronto/Senior-Machine-Learning-Engineer_JR-0106107",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "0df3f141b48c0508a90f252240776726",
      "title": "Sr. Principal Machine Learning Engineer",
      "employer_name": "Comcast Corporation",
      "employer_slug": "comcast",
      "location_text": "CA - Virtual - E",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-08T00:00:00.000Z",
      "apply_url": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/CA---Virtual---E/Sr-Principal-Machine-Learning-Engineer_R438718",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. Principal Machine Learning Engineer CA - Virtual - E posted: Posted 4 Days Ago",
      "parental_leave_weeks": 4,
      "non_birth_parent_leave_weeks": 4,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 73,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1166691/000162828026004994/cmcsa-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1166691/000162828026004994/cmcsa-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022",
          "db_column": "parental_leave_weeks",
          "source_url": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Media",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.4773d7f81050083671",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "0df3f141b48c0508a90f252240776726",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:0df3f141b48c0508a90f252240776726:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.d4a98cf744e7771e64",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "0df3f141b48c0508a90f252240776726",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.04747f8c65eb0b10af",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1166691/000162828026004994/cmcsa-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1166691/000162828026004994/cmcsa-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/CA---Virtual---E/Sr-Principal-Machine-Learning-Engineer_R438718",
          "source_values": [
            "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/CA---Virtual---E/Sr-Principal-Machine-Learning-Engineer_R438718",
          "source_values": [
            "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/CA---Virtual---E/Sr-Principal-Machine-Learning-Engineer_R438718",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/CA---Virtual---E/Sr-Principal-Machine-Learning-Engineer_R438718",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "fe09ad915e2857f8d633bf5e3f5c86bc",
      "title": "Senior Machine Learning Engineer",
      "employer_name": "Amgen",
      "employer_slug": "amgen",
      "location_text": "United States - Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T00:00:00.000Z",
      "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Machine Learning Engineer United States - Remote posted: Posted 2 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 60,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "remote_status": {
          "field": "remote_status",
          "source": "rule:remote_status",
          "db_column": "remote_status"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "days_in_office": {
          "field": "days_in_office",
          "source": "rule:remote_status",
          "db_column": "days_in_office"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.9cbe6453f91a746c23",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fe09ad915e2857f8d633bf5e3f5c86bc",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:fe09ad915e2857f8d633bf5e3f5c86bc:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.e43353c55540c12352",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "fe09ad915e2857f8d633bf5e3f5c86bc",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.34bc4f661c589c5f54",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "remote_status": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361",
          "source_values": [
            "rule:remote_status"
          ],
          "checked_at": null
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "c09e87846c88d878f81ad00d132566a6",
      "title": "Machine Learning Engineer - 5",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "Bangalore",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Machine-Learning-Engineer---5_R168703-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer - 5 Bangalore posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.71d8e4dff21f17be96",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c09e87846c88d878f81ad00d132566a6",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:c09e87846c88d878f81ad00d132566a6:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.a6960c24fc5754a0d1",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c09e87846c88d878f81ad00d132566a6",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.4266870c1c924245f7",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Machine-Learning-Engineer---5_R168703-1",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Machine-Learning-Engineer---5_R168703-1",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Machine-Learning-Engineer---5_R168703-1",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Machine-Learning-Engineer---5_R168703-1",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "531bb3624c0cabc2a6a710cdf9f9ea5b",
      "title": "AI Analyst (Support Agent)- Cortex",
      "employer_name": "CyberArk",
      "employer_slug": "cyberark",
      "location_text": "Office - Israel - Tel Aviv",
      "country": "IL",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/AI-Analyst--Support-Agent---Cortex_JR-016521",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Analyst (Support Agent)- Cortex Office - Israel - Tel Aviv posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "other",
      "role_function_source": "unknown",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.4065c8d064040e0644",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "531bb3624c0cabc2a6a710cdf9f9ea5b",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "other",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:531bb3624c0cabc2a6a710cdf9f9ea5b:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.ad2e81b0250353f6ad",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "531bb3624c0cabc2a6a710cdf9f9ea5b",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.bb87637a0453a39201",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/AI-Analyst--Support-Agent---Cortex_JR-016521",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "c9f8b3529d08318e9134fc06d1cc08d5",
      "title": "Senior AI Integration Engineer",
      "employer_name": "Leidos",
      "employer_slug": "leidos",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://leidos.wd5.myworkdayjobs.com/External/job/11063-Alexandria-VA/Senior-AI-Integration-Engineer_R-00177903-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Integration Engineer 2 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 4,
      "non_birth_parent_leave_weeks": 4,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.leidos.com/careers/pay-benefits",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 73,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.leidos.com/careers/pay-benefits",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.leidos.com/careers/pay-benefits"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.leidos.com/careers/pay-benefits",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.leidos.com/careers/pay-benefits"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Defense",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.09d2ec2636556793d8",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c9f8b3529d08318e9134fc06d1cc08d5",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:c9f8b3529d08318e9134fc06d1cc08d5:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.726087ca54f161530a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c9f8b3529d08318e9134fc06d1cc08d5",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.df4483dac82edab1ce",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://leidos.wd5.myworkdayjobs.com/External/job/11063-Alexandria-VA/Senior-AI-Integration-Engineer_R-00177903-1",
          "source_values": [
            "https://www.leidos.com/careers/pay-benefits"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://leidos.wd5.myworkdayjobs.com/External/job/11063-Alexandria-VA/Senior-AI-Integration-Engineer_R-00177903-1",
          "source_values": [
            "https://www.leidos.com/careers/pay-benefits"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://leidos.wd5.myworkdayjobs.com/External/job/11063-Alexandria-VA/Senior-AI-Integration-Engineer_R-00177903-1",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://leidos.wd5.myworkdayjobs.com/External/job/11063-Alexandria-VA/Senior-AI-Integration-Engineer_R-00177903-1",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "176e5847f503ea754385c23424d43e4d",
      "title": "AI Data Associate with Dutch , Artificial General Intelligence Data Services",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "London, England, GBR",
      "country": "GB",
      "employment_type": "contract",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-22T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Data Associate with Dutch , Artificial General Intelligence Data Services London, England, GBR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! This is a fixed term contract for 12 months and will require you to work from our London office 5 days a week. Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "contractor_type": {
          "field": "contractor_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "contractor_type"
        },
        "employment_type": {
          "field": "employment_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "employment_type"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "associate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.9158721682e2863048",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "176e5847f503ea754385c23424d43e4d",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:176e5847f503ea754385c23424d43e4d:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.5ab312d7258d8694c3",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "176e5847f503ea754385c23424d43e4d",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.9215a9af0d3295b40a",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10427965/ai-data-associate-with-dutch-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "f6233219b7cc7d328789041dc777e41d",
      "title": "Machine Learning Engineer",
      "employer_name": "Amgen",
      "employer_slug": "amgen",
      "location_text": "India - Hyderabad",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-05T00:00:00.000Z",
      "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-245679",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.5db7f52bd778104101",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f6233219b7cc7d328789041dc777e41d",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:f6233219b7cc7d328789041dc777e41d:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.c485f8a6d9d1a87804",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f6233219b7cc7d328789041dc777e41d",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.2d7afd4faa6113d802",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-245679",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-245679",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-245679",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-245679",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "1c9a1ce60ad4a77ef1ce426f44c64c64",
      "title": "Lead AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00289264",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Yesterday",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.c3e1a915593538a12c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "1c9a1ce60ad4a77ef1ce426f44c64c64",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:1c9a1ce60ad4a77ef1ce426f44c64c64:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.12f67581efed04eba9",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "1c9a1ce60ad4a77ef1ce426f44c64c64",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.00162860535ecbd219",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00289264",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00289264",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00289264",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00289264",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "5c409098cf534fdb8850c9563ccb37c8",
      "title": "Lead AI Engineer",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-21T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00294164",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 22 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.295f1dbc73154cd5ab",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5c409098cf534fdb8850c9563ccb37c8",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:5c409098cf534fdb8850c9563ccb37c8:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.660ef1307af73794c1",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5c409098cf534fdb8850c9563ccb37c8",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.71853f1efdbaa0cf72",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00294164",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00294164",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00294164",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/Lead-AI-Engineer_R00294164",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "f404a85ddbf2b74f6089688f45913ea4",
      "title": "AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "The Hague, South Holland, NLD",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-18T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services The Hague, South Holland, NLD AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns,",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "associate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.cd8516de0bda897ef4",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f404a85ddbf2b74f6089688f45913ea4",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:f404a85ddbf2b74f6089688f45913ea4:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.a1df67e1af94f829d6",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f404a85ddbf2b74f6089688f45913ea4",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.5bf880413967a3612a",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10422330/ai-data-associate-dutch-english-bilingual-artificial-general-intelligence-data-services",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "24dbb9dce1619dd296cab9745faacd40",
      "title": "Machine Learning Engineer - Evergreen",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "Bucharest",
      "country": "RO",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Engineer - Evergreen Bucharest posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.71b1a263155cb6aadb",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "24dbb9dce1619dd296cab9745faacd40",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:24dbb9dce1619dd296cab9745faacd40:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.97070791eedb038f76",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "24dbb9dce1619dd296cab9745faacd40",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.75e0815743f116a92b",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "e54d7f0d7dc598c199d2dc6664f26710",
      "title": "Senior AI Engineer",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "San Jose",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R165822",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior AI Engineer San Jose posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.f87efa207a8eaaba74",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "e54d7f0d7dc598c199d2dc6664f26710",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:e54d7f0d7dc598c199d2dc6664f26710:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.36aad095dc97531604",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "e54d7f0d7dc598c199d2dc6664f26710",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.e593e471a2a0a6dda7",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R165822",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R165822",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R165822",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R165822",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "f7aa812e6b25554eaf10c49cc150ad97",
      "title": "Senior Staff Data Scientist (AI Solutions - Machines)",
      "employer_name": "CyberArk",
      "employer_slug": "cyberark",
      "location_text": "Office - Israel - CyberArk Petach Tikva",
      "country": "IL",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-03T00:00:00.000Z",
      "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---CyberArk-Petach-Tikva/Sr-Staff---Staff-Data-Scientist--AI-Solutions---Machines-_JR-018164",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Staff Data Scientist (AI Solutions - Machines) Office - Israel - CyberArk Petach Tikva posted: Posted 9 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.aaa58cb7e6dab43c8f",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f7aa812e6b25554eaf10c49cc150ad97",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:f7aa812e6b25554eaf10c49cc150ad97:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.3cfa136578ba7d4451",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f7aa812e6b25554eaf10c49cc150ad97",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.58fe8ecc4839e320b4",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---CyberArk-Petach-Tikva/Sr-Staff---Staff-Data-Scientist--AI-Solutions---Machines-_JR-018164",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---CyberArk-Petach-Tikva/Sr-Staff---Staff-Data-Scientist--AI-Solutions---Machines-_JR-018164",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "72309b2653d41ceec838e44380e936aa",
      "title": "Applied Scientist III, RBKS AI",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Toronto, Ontario, CAN",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 195900,
      "salary_max": 327200,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "CAD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 195900,
      "base_salary_max": 327200,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": true,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-11-13T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied Scientist III, RBKS AI Toronto, Ontario, CAN The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems. The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience. Key job responsibilities * Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding * Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference * Map product requirements into science solutions and deliver high-quality science artifacts that ship to products * Collaborate with scientists, engineers, product/program managers and other cross-functional teams * Provide technical leadership on AI products/features, and develop and mentor junior scientists on the team. Basic Qualifications: - PhD, or Master's degree and 8+ years of applied research experience - Proven expertise in",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 56,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.fd855ba40f0359e67a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "72309b2653d41ceec838e44380e936aa",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:72309b2653d41ceec838e44380e936aa:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.c695b42ea00f312dbd",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "72309b2653d41ceec838e44380e936aa",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.070b915b4cb2e6f54e",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3126517/applied-scientist-iii-rbks-ai",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "f0907bd39f95d7d6fe4e1668920e0509",
      "title": "Distinguished AI/ML Architect (Cortex)",
      "employer_name": "CyberArk",
      "employer_slug": "cyberark",
      "location_text": "Office - Israel - Tel Aviv",
      "country": "IL",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-04T00:00:00.000Z",
      "apply_url": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/Distinguished-AI-ML-Architect--Cortex-_JR-016522-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Distinguished AI/ML Architect (Cortex) Office - Israel - Tel Aviv posted: Posted 8 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 77,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.paloaltonetworks.com/api/1.0/download/396"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "engineering",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.e190be08f9ac2c0545",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f0907bd39f95d7d6fe4e1668920e0509",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:f0907bd39f95d7d6fe4e1668920e0509:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.57203a6a631d773d9a",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "f0907bd39f95d7d6fe4e1668920e0509",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.3a9e2305e4a0a3e306",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "inferred",
          "verified": false,
          "label": "Inferred - source not recorded",
          "source_label": "source not recorded",
          "href": null,
          "source_values": [],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "government",
          "verified": true,
          "label": "Verified - O*NET",
          "source_label": "O*NET",
          "href": "https://benefits.paloaltonetworks.com/api/1.0/download/396",
          "source_values": [
            "https://benefits.paloaltonetworks.com/api/1.0/download/396"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/Distinguished-AI-ML-Architect--Cortex-_JR-016522-1",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/Distinguished-AI-ML-Architect--Cortex-_JR-016522-1",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "05a061a76639c08d916e1d2e85f3e39a",
      "title": "Applied AI Architect",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Paris/Senior-Solution-Architect-Firefly-Enterprise-Solutions_R168333",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Applied AI Architect 2 Locations posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.46f56cc58815f43383",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "05a061a76639c08d916e1d2e85f3e39a",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:05a061a76639c08d916e1d2e85f3e39a:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.a996d79f9771496bfd",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "05a061a76639c08d916e1d2e85f3e39a",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.ca8d8f6412ab36e24e",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Paris/Senior-Solution-Architect-Firefly-Enterprise-Solutions_R168333",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Paris/Senior-Solution-Architect-Firefly-Enterprise-Solutions_R168333",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Paris/Senior-Solution-Architect-Firefly-Enterprise-Solutions_R168333",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Paris/Senior-Solution-Architect-Firefly-Enterprise-Solutions_R168333",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "492d0dddc55073fdd80032bbc521b4ca",
      "title": "Senior Scientist - Artificial Intelligence",
      "employer_name": "GE Vernova",
      "employer_slug": "ge-vernova",
      "location_text": "Niskayuna",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Senior-Scientist---Artificial-Intelligence_R5023296-2",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Scientist - Artificial Intelligence Niskayuna posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 10,
      "non_birth_parent_leave_weeks": 10,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 85,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.5481cff3841d918236",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "492d0dddc55073fdd80032bbc521b4ca",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:492d0dddc55073fdd80032bbc521b4ca:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.36517a6be913f7ef62",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "492d0dddc55073fdd80032bbc521b4ca",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.7ab4152254be2c1de8",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1996810/000199681026000015/gev-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Senior-Scientist---Artificial-Intelligence_R5023296-2",
          "source_values": [
            "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Senior-Scientist---Artificial-Intelligence_R5023296-2",
          "source_values": [
            "https://www.gevernova.com/sustainability/documents/Sustainability/ge2022_sustainability_report_print_ada.pdf"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Senior-Scientist---Artificial-Intelligence_R5023296-2",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Senior-Scientist---Artificial-Intelligence_R5023296-2",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "06bdf4075b72b1f0216c6d2bcdc91d4b",
      "title": "Lead AI and Computer Vision specialist (f/m/d)",
      "employer_name": "Baker Hughes",
      "employer_slug": "baker-hughes",
      "location_text": "IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2",
      "country": "IT",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-11T00:00:00.000Z",
      "apply_url": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Lead-AI-and-Computer-Vision-specialist_R163568-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Lead AI and Computer Vision specialist (f/m/d) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday",
      "parental_leave_weeks": 12,
      "non_birth_parent_leave_weeks": 8,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 81,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Energy",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.710de2e6ef1175add2",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "06bdf4075b72b1f0216c6d2bcdc91d4b",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:06bdf4075b72b1f0216c6d2bcdc91d4b:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.8c5ea2dc962fbb7a08",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "06bdf4075b72b1f0216c6d2bcdc91d4b",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.b34763c8fe03bf0649",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1701605/000170160526000007/bkr-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Lead-AI-and-Computer-Vision-specialist_R163568-1",
          "source_values": [
            "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Lead-AI-and-Computer-Vision-specialist_R163568-1",
          "source_values": [
            "https://www.bakerhughesbenefits.com/faq-categories/paid-parental-leave"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Lead-AI-and-Computer-Vision-specialist_R163568-1",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Lead-AI-and-Computer-Vision-specialist_R163568-1",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "052708f43192d392888b918dd9293251",
      "title": "Associate Machine Learning Engineer",
      "employer_name": "Amgen",
      "employer_slug": "amgen",
      "location_text": "India - Hyderabad",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-05T00:00:00.000Z",
      "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-245678",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Associate Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Healthcare",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.08d2af9ed74652218c",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "052708f43192d392888b918dd9293251",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:052708f43192d392888b918dd9293251:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.2a3d085db7cfae6ae6",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "052708f43192d392888b918dd9293251",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.8b1b0fb4f23f9c7171",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-245678",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-245678",
          "source_values": [
            "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-245678",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-245678",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "d47efe5dc6b4eb94f818ce7be1bb0a3b",
      "title": "Computer Vision Scientist, International Machine Learning, Australia",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "Melbourne, Victoria, AUS",
      "country": "AU",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2025-11-05T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/3121226/computer-vision-scientist-international-machine-learning-australia",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Vision Scientist, International Machine Learning, Australia Melbourne, Victoria, AUS ** Join Our Innovative Computer Vision Team at Amazon, Australia ** Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia. As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources. Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions. #austechjobs Key job responsibilities - Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog - Analyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance content - Design, build, and evaluate generative AI models tailored to our business use cases - Communicate clearly with business stakeholders to understand and align on requirements - Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems - Mentor interns and junior scientists - Publish papers at",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "tech_stack": {
          "field": "tech_stack",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "tech_stack"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 4,
      "years_experience_max": 7,
      "role_function": "engineering",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.d77d411422207affed",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "d47efe5dc6b4eb94f818ce7be1bb0a3b",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "engineering",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:d47efe5dc6b4eb94f818ce7be1bb0a3b:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.fee81fd385e0cb41a5",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "d47efe5dc6b4eb94f818ce7be1bb0a3b",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.74fb480d1ba1987040",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3121226/computer-vision-scientist-international-machine-learning-australia",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3121226/computer-vision-scientist-international-machine-learning-australia",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3121226/computer-vision-scientist-international-machine-learning-australia",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3121226/computer-vision-scientist-international-machine-learning-australia",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3121226/computer-vision-scientist-international-machine-learning-australia",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3121226/computer-vision-scientist-international-machine-learning-australia",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3121226/computer-vision-scientist-international-machine-learning-australia",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/3121226/computer-vision-scientist-international-machine-learning-australia",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    },
    {
      "id": "5f146c2f6b0de6c68e4e963394296661",
      "title": "Principal Machine Learning Engineer",
      "employer_name": "Workday, Inc.",
      "employer_slug": "workday",
      "location_text": "3 Locations",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-05T00:00:00.000Z",
      "apply_url": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer_JR-0107128",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Machine Learning Engineer 3 Locations posted: Posted 7 Days Ago",
      "parental_leave_weeks": 12,
      "non_birth_parent_leave_weeks": 12,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 89,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
        }
      },
      "seniority": "staff_plus",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.c4300a697df771a903",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5f146c2f6b0de6c68e4e963394296661",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:5f146c2f6b0de6c68e4e963394296661:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.615cc6daa2d5748a44",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "5f146c2f6b0de6c68e4e963394296661",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.30aca90425965b6d4a",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1327811/000132781126000014/wday-20260131.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer_JR-0107128",
          "source_values": [
            "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer_JR-0107128",
          "source_values": [
            "https://workdaybenefits.com/us/social-and-flex/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer_JR-0107128",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer_JR-0107128",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "c4b51877ddca5e6326d9ef9f543c33a0",
      "title": "AI Engineer QA",
      "employer_name": "Ecolab",
      "employer_slug": "ecolab",
      "location_text": "IND - Karnataka - Bangalore - EDC",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp",
        "profit_share"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer-QA_R00296639",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "AI Engineer QA IND - Karnataka - Bangalore - EDC posted: Posted Today",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
        }
      },
      "seniority": "mid",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.4391052b71ac6be2d3",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c4b51877ddca5e6326d9ef9f543c33a0",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:c4b51877ddca5e6326d9ef9f543c33a0:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.21e5371e267d7e1ba1",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "c4b51877ddca5e6326d9ef9f543c33a0",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.758200d70855b9f377",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer-QA_R00296639",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer-QA_R00296639",
          "source_values": [
            "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer-QA_R00296639",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/IND---Karnataka---Bangalore---EDC/AI-Engineer-QA_R00296639",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "312c9ddb409e06484bfe32b269e812b2",
      "title": "Sr Machine Learning Engineer",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "San Jose",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options",
        "espp"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer-4_R165400-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr Machine Learning Engineer San Jose posted: Posted 30+ Days Ago",
      "parental_leave_weeks": 16,
      "non_birth_parent_leave_weeks": 16,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 90,
      "benefit_verified": true,
      "benefit_last_verified": "2026-05-07",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": null,
      "llm_extraction_run_id": null,
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "rule",
          "db_column": "role_function"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "parental_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence",
          "db_column": "non_birth_parent_leave_weeks",
          "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence"
        }
      },
      "seniority": "senior",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "role_function_source": "rule",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Technology",
      "employer_industry_source": "source_sector",
      "employer_size": "5000+",
      "quality_score": 35,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.07e9e11b85d56c4592",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "312c9ddb409e06484bfe32b269e812b2",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "data",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:312c9ddb409e06484bfe32b269e812b2:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.d5b36fc13d1a6c2cac",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "312c9ddb409e06484bfe32b269e812b2",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.f63f90ea2762e86c0f",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm"
          ],
          "checked_at": null
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer-4_R165400-1",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer-4_R165400-1",
          "source_values": [
            "https://benefits.adobe.com/us/time-off/leaves-of-absence"
          ],
          "checked_at": "2026-05-07"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-05-07"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer-4_R165400-1",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": null
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer-4_R165400-1",
          "source_values": [
            "rule"
          ],
          "checked_at": null
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": null,
          "source_values": [
            "source_sector"
          ],
          "checked_at": null
        }
      }
    },
    {
      "id": "3516c733e1efd6923d97842996a0a073",
      "title": "Principal GenAI Specialist SA",
      "employer_name": "Amazon",
      "employer_slug": "amazon",
      "location_text": "New York, New York, USA",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 201000,
      "salary_max": 272000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 201000,
      "base_salary_max": 272000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "rsu",
        "options"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-03-24T00:00:00.000Z",
      "apply_url": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
      "apply_url_verified": false,
      "ats": "amazon_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal GenAI Specialist SA New York, New York, USA Application deadline: Jun 14, 2026 Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 56,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-07T00:00:00Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "llm_signals_at": "2026-06-20T05:42:05.724Z",
      "llm_extraction_run_id": "postfix_final_004037",
      "llm_extraction_extracted_at": null,
      "llm_extraction_field_sources": {
        "seniority": {
          "field": "seniority",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "seniority"
        },
        "years_min": {
          "field": "years_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "years_experience_min"
        },
        "k401_match": {
          "source": "dol_form_5500",
          "source_url": null,
          "source_fields": [
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "source_label": "DOL Form 5500 filing"
        },
        "salary_max": {
          "field": "salary_max",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_max"
        },
        "salary_min": {
          "field": "salary_min",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "base_salary_min"
        },
        "equity_type": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "role_family": {
          "field": "role_family",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_family"
        },
        "salary_type": {
          "field": "salary_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_type"
        },
        "customer_type": {
          "field": "customer_type",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "customer_type"
        },
        "role_function": {
          "field": "role_function",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "role_function"
        },
        "salary_period": {
          "field": "salary_period",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_period"
        },
        "equity_offered": {
          "field": "equity_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "equity_offered"
        },
        "equity_included": {
          "source": "sec_10k",
          "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_fields": [
            "equity_offered",
            "equity_type"
          ]
        },
        "salary_currency": {
          "field": "salary_currency",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "salary_currency"
        },
        "salary_disclosed": {
          "field": "salary_disclosed",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_disclosed"
        },
        "visa_sponsorship": {
          "field": "visa_sponsorship",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "visa_sponsorship"
        },
        "childcare_subsidy": {
          "field": "childcare_subsidy",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "childcare_subsidy"
        },
        "education_required": {
          "field": "education_required",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "education_required"
        },
        "visible_salary_max": {
          "field": "visible_salary_max",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_max"
        },
        "visible_salary_min": {
          "field": "visible_salary_min",
          "source": "derived:greenfield:inv_371_postfix",
          "db_column": "salary_min"
        },
        "application_deadline": {
          "field": "application_deadline",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "application_deadline"
        },
        "parental_leave_weeks": {
          "field": "parental_leave_weeks",
          "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families",
          "db_column": "parental_leave_weeks",
          "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
        },
        "mental_health_support": {
          "field": "mental_health_support",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "mental_health_support"
        },
        "adoption_assistance_offered": {
          "field": "adoption_assistance_offered",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "adoption_assistance_offered"
        },
        "non_birth_parent_leave_weeks": {
          "field": "non_birth_parent_leave_weeks",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "non_birth_parent_leave_weeks"
        },
        "fertility_family_building_benefits": {
          "field": "fertility_family_building_benefits",
          "source": "llm:greenfield:inv_371_postfix",
          "db_column": "fertility_family_building_benefits"
        }
      },
      "seniority": "principal",
      "seniority_source": "llm:greenfield:inv_371_postfix",
      "years_experience_min": 10,
      "years_experience_max": 12,
      "role_function": "teaching_education",
      "role_function_source": "llm:greenfield:inv_371_postfix",
      "company_stage": null,
      "company_stage_source": null,
      "employer_industry": "Industrial",
      "employer_industry_source": "wikidata_sparql_industry",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.role_function.da683c444febc09911",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "3516c733e1efd6923d97842996a0a073",
          "signal_type": "query_match",
          "display_text": "Role: semantic match",
          "tooltip": "Role provided semantic evidence for your search intent.",
          "source_binding": "vector_semantic_evidence",
          "source_field": "role_function",
          "source_value": "teaching_education",
          "matched_input": "openai",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_d2461beb4af27f9c758c:3516c733e1efd6923d97842996a0a073:vector",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 74,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.filter.verified_benefits_only.402eaefe16e3f2b714",
          "query_id": "gq_d2461beb4af27f9c758c",
          "job_id": "3516c733e1efd6923d97842996a0a073",
          "signal_type": "filter_match",
          "display_text": "Source-backed benefits",
          "tooltip": "This result passed the Source-backed benefits filter.",
          "source_binding": "row_trust_evidence",
          "source_field": "benefit_verified",
          "source_value": true,
          "matched_input": true,
          "active_filter_key": "verified_benefits_only",
          "active_filter_value": true,
          "derivation_source": "candidate_result.applied_filters",
          "candidate_evidence_id": "sig.applied.verified_benefits_only.b6d4ef2d3efda0d438",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "filter_predicate_replay",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 70,
          "mobile_priority": 3,
          "ui": {
            "icon": "SlidersHorizontal",
            "tone": "filter",
            "href": null
          }
        }
      ],
      "source_label": "DOL Form 5500 filing",
      "parental_leave_source_label": "Employer benefits source",
      "k401_match_source_label": "DOL Form 5500 filing",
      "k401_contribution_source_label": "DOL Form 5500 filing",
      "apply_url_checked_at": null,
      "apply_url_verification_status": "not_reachable_or_not_checked",
      "apply_url_verification_label": "Not checked or not reachable at last crawl",
      "field_source_signals": {
        "salary_min": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_max": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "salary_type": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "equity_included": {
          "tier": "government",
          "verified": true,
          "label": "Verified - SEC 10-K",
          "source_label": "SEC 10-K",
          "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm",
          "source_values": [
            "sec_10k",
            "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "parental_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "non_birth_parent_leave_weeks": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "k401_match": {
          "tier": "government",
          "verified": true,
          "label": "Verified - DOL Form 5500",
          "source_label": "DOL Form 5500",
          "href": null,
          "source_values": [
            "dol_form_5500",
            "EMPLR_CONTRIB_INCOME_AMT"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "seniority": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "role_function": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "employer_industry": {
          "tier": "government",
          "verified": true,
          "label": "Verified - Wikidata",
          "source_label": "Wikidata",
          "href": null,
          "source_values": [
            "wikidata_sparql_industry"
          ],
          "checked_at": "2026-06-20T05:42:05.724Z"
        },
        "fertility_family_building_benefits": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "mental_health_support": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "adoption_assistance_offered": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        },
        "childcare_subsidy": {
          "tier": "posting",
          "verified": true,
          "label": "From the posting",
          "source_label": "the posting",
          "href": "https://www.amazon.jobs/en/jobs/10375124/principal-genai-specialist-sa",
          "source_values": [
            "llm:greenfield:inv_371_postfix"
          ],
          "checked_at": "2026-06-07T00:00:00Z"
        }
      }
    }
  ],
  "total": 30,
  "page": 1,
  "per_page": 100,
  "applied_filters": {
    "q": "OpenAI",
    "verified_benefits_only": true
  },
  "hidden_unknown_benefits_count": 0,
  "hidden_quality_floor_count": 0,
  "quality_floor": "default",
  "search_profile": {
    "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1",
    "bm25_extension": "pg_textsearch",
    "vector_model": "BAAI/bge-small-en-v1.5",
    "vector_model_version": "v1.5",
    "fusion_method": "rrf"
  },
  "explanation_context": {
    "non_trivial_query": true,
    "query_terms": [
      "openai"
    ],
    "active_filter_keys": [
      "verified_benefits_only"
    ],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": {
    "query_context": {
      "query_id": "df687b16-eef2-4c33-9ccd-4389214ebd4f",
      "issued_at": "2026-08-12T02:30:28.081Z",
      "route": "/jobs",
      "page": 1,
      "per_page": 100,
      "total_results": 30,
      "sort": "relevance",
      "ranking_policy": "hybrid_rrf_rerank",
      "ranking_policy_version": "inv382.jobs.search.v2",
      "query_hash": "hmac_sha256:dn2KJ43ApZAxDbr9FeJBLCFe77GLm4eIIOPDb_AsrJY",
      "filter_hash": "hmac_sha256:_ii06B5G22j5ieRNT8nQ7-rpmeWu1C1W8rx0WNTWoog",
      "query_features": {
        "has_q": true,
        "q_term_count": 1,
        "q_length_bucket": "1_15",
        "q_pii_redacted": false,
        "state_count": 0,
        "benefit_filters": [
          "verified_benefits_only"
        ],
        "quality_floor": "default"
      },
      "exposures": [
        {
          "result_id": "1513302e8645c47465166996ab77a763",
          "position": 1,
          "page_position": 1,
          "retrieval_features": {
            "bm25_score": -9.221917152404785,
            "vector_score": 0.299346923828125,
            "rrf_score": 0.023386449615957813,
            "rerank_score": 7.642313480377197,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 64,
            "quality_score": 55
          }
        },
        {
          "result_id": "8366c5e47b5aa26df600e3daa2a521af",
          "position": 2,
          "page_position": 2,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2771124624345437,
            "rrf_score": 0.015384615384615385,
            "rerank_score": -6.849691390991211,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "411f39f2b1a15619db57b59acc56fc42",
          "position": 3,
          "page_position": 3,
          "retrieval_features": {
            "bm25_score": -5.857359409332275,
            "vector_score": 0,
            "rrf_score": 0.015151515151515152,
            "rerank_score": -10.034863471984863,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 71,
            "quality_score": 45
          }
        },
        {
          "result_id": "b481e385a71e43b0aa8a3f2cef7c6f77",
          "position": 4,
          "page_position": 4,
          "retrieval_features": {
            "bm25_score": -4.502786636352539,
            "vector_score": 0,
            "rrf_score": 0.014492753623188406,
            "rerank_score": -10.80228042602539,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 62,
            "quality_score": 55
          }
        },
        {
          "result_id": "dc93ac295b27f1c3fd94dbf92f0e8f65",
          "position": 5,
          "page_position": 5,
          "retrieval_features": {
            "bm25_score": -4.272907257080078,
            "vector_score": 0,
            "rrf_score": 0.013888888888888888,
            "rerank_score": -10.807785034179688,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 62,
            "quality_score": 55
          }
        },
        {
          "result_id": "dc93ac295b27f1c3fd94dbf92f0e8f65",
          "position": 6,
          "page_position": 6,
          "retrieval_features": {
            "bm25_score": -4.272907257080078,
            "vector_score": 0,
            "rrf_score": 0.0136986301369863,
            "rerank_score": -10.807785034179688,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 62,
            "quality_score": 55
          }
        },
        {
          "result_id": "9234db0704c55f60916ecac23406a045",
          "position": 7,
          "page_position": 7,
          "retrieval_features": {
            "bm25_score": -4.502786636352539,
            "vector_score": 0,
            "rrf_score": 0.014705882352941176,
            "rerank_score": -10.813677787780762,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 62,
            "quality_score": 55
          }
        },
        {
          "result_id": "486aeffb411954a09d0a7219c5b0e578",
          "position": 8,
          "page_position": 8,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2719724774360657,
            "rrf_score": 0.016129032258064516,
            "rerank_score": -10.867024421691895,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "5cd2ab46b782a3ba23b7c586a5d2aea4",
          "position": 9,
          "page_position": 9,
          "retrieval_features": {
            "bm25_score": -4.272907257080078,
            "vector_score": 0,
            "rrf_score": 0.014084507042253521,
            "rerank_score": -10.890401840209961,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 62,
            "quality_score": 55
          }
        },
        {
          "result_id": "7f813c75279d29a88a787aed3d219e21",
          "position": 10,
          "page_position": 10,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.27048206329345703,
            "rrf_score": 0.01639344262295082,
            "rerank_score": -10.96807861328125,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "05824d1ec81bc2fe4eed9c35cd1ff373",
          "position": 11,
          "page_position": 11,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2797469759289004,
            "rrf_score": 0.014705882352941176,
            "rerank_score": -10.992466926574707,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "e590080482e60942c1bd1dd2e9ce4a32",
          "position": 12,
          "page_position": 12,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.27696177041985826,
            "rrf_score": 0.015625,
            "rerank_score": -11.028485298156738,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 61,
            "quality_score": 35
          }
        },
        {
          "result_id": "5f670f5e245381e1d9f0f5e41dbf5d44",
          "position": 13,
          "page_position": 13,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2810260057449341,
            "rrf_score": 0.014084507042253521,
            "rerank_score": -11.05046272277832,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 69,
            "quality_score": 35
          }
        },
        {
          "result_id": "a3a827dc8e2ffff19b3b0600e775a85e",
          "position": 14,
          "page_position": 14,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.28187297094625285,
            "rrf_score": 0.013888888888888888,
            "rerank_score": -11.053243637084961,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "9a2bf03530aebd0394ab6001e5e035da",
          "position": 15,
          "page_position": 15,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2819857979412611,
            "rrf_score": 0.0136986301369863,
            "rerank_score": -11.053632736206055,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 68,
            "quality_score": 35
          }
        },
        {
          "result_id": "4c15198e2ab3cc904dfd2eb80f731a52",
          "position": 16,
          "page_position": 16,
          "retrieval_features": {
            "bm25_score": -4.065359592437744,
            "vector_score": 0,
            "rrf_score": 0.013333333333333334,
            "rerank_score": -11.115225791931152,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 70,
            "quality_score": 55
          }
        },
        {
          "result_id": "4d8b5cedb4579a50db7cf8f3f89ddf9e",
          "position": 17,
          "page_position": 17,
          "retrieval_features": {
            "bm25_score": -5.857359409332275,
            "vector_score": 0,
            "rrf_score": 0.014925373134328358,
            "rerank_score": -11.153986930847168,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 60,
            "quality_score": 45
          }
        },
        {
          "result_id": "c16607786177643cb8e599017a5ab516",
          "position": 18,
          "page_position": 18,
          "retrieval_features": {
            "bm25_score": -7.479862689971924,
            "vector_score": 0,
            "rrf_score": 0.016129032258064516,
            "rerank_score": -11.156320571899414,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 60,
            "quality_score": 45
          }
        },
        {
          "result_id": "3ced0db3de600383dd3af9310fa7261e",
          "position": 19,
          "page_position": 19,
          "retrieval_features": {
            "bm25_score": -4.065359592437744,
            "vector_score": 0,
            "rrf_score": 0.013513513513513514,
            "rerank_score": -11.16439151763916,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 62,
            "quality_score": 55
          }
        },
        {
          "result_id": "bafc56c23edbedcf1282e181ec9ce995",
          "position": 20,
          "page_position": 20,
          "retrieval_features": {
            "bm25_score": -6.510178089141846,
            "vector_score": 0,
            "rrf_score": 0.015384615384615385,
            "rerank_score": -11.260875701904297,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 68,
            "quality_score": 55
          }
        },
        {
          "result_id": "15dccfc1dcb4b40e303bd3fd090cb29c",
          "position": 21,
          "page_position": 21,
          "retrieval_features": {
            "bm25_score": -4.272907257080078,
            "vector_score": 0,
            "rrf_score": 0.014285714285714285,
            "rerank_score": -11.312588691711426,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 152,
            "quality_score": 45
          }
        },
        {
          "result_id": "482a9b23572fb5fb91529652b2907456",
          "position": 22,
          "page_position": 22,
          "retrieval_features": {
            "bm25_score": -7.464457035064697,
            "vector_score": 0,
            "rrf_score": 0.015873015873015872,
            "rerank_score": -11.319609642028809,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 60,
            "quality_score": 35
          }
        },
        {
          "result_id": "8e64ac5a143559e5e48a8a1cfc31ef47",
          "position": 23,
          "page_position": 23,
          "retrieval_features": {
            "bm25_score": -7.059273719787598,
            "vector_score": 0,
            "rrf_score": 0.015625,
            "rerank_score": -11.331473350524902,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 60,
            "quality_score": 45
          }
        },
        {
          "result_id": "394d5811b93d4e35a7bd6be5e061ca41",
          "position": 24,
          "page_position": 24,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2804241180419922,
            "rrf_score": 0.014285714285714285,
            "rerank_score": -11.347051620483398,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "36edb9d4bec2486136d955979b1ff5a7",
          "position": 25,
          "page_position": 25,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2774571180343628,
            "rrf_score": 0.015151515151515152,
            "rerank_score": -11.39477825164795,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 63,
            "quality_score": 35
          }
        },
        {
          "result_id": "3c489085ed0321deae30a744e07d0f13",
          "position": 26,
          "page_position": 26,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2827552556991577,
            "rrf_score": 0.013333333333333334,
            "rerank_score": -11.410298347473145,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "fba87f2305cc6a1da3fc0df242fcf4f1",
          "position": 27,
          "page_position": 27,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.27976226806640625,
            "rrf_score": 0.014492753623188406,
            "rerank_score": -11.446958541870117,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "5e16af528a66cf97aa887eaf854c86ed",
          "position": 28,
          "page_position": 28,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.28266994460404127,
            "rrf_score": 0.013513513513513514,
            "rerank_score": -11.465590476989746,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "a5b97c753b7907bf73f0ad2a96c84c63",
          "position": 29,
          "page_position": 29,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2721449136734009,
            "rrf_score": 0.015873015873015872,
            "rerank_score": -11.476034164428711,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "fe47f5f8717d0328998cd0f9e6bb3ae0",
          "position": 30,
          "page_position": 30,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2789632511756853,
            "rrf_score": 0.014925373134328358,
            "rerank_score": -11.48338508605957,
            "text_match_title": true,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 85,
            "quality_score": 35
          }
        },
        {
          "result_id": "63a8c0a52ca99d2e3e958115cce62c2d",
          "position": 31,
          "page_position": 31,
          "retrieval_features": {
            "bm25_score": -4.065359592437744,
            "vector_score": 0,
            "rrf_score": 0.013157894736842105,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 84,
            "quality_score": 55
          }
        },
        {
          "result_id": "52b0f2a43d058092497fb372d420aaba",
          "position": 32,
          "page_position": 32,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2831215262413025,
            "rrf_score": 0.013157894736842105,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 72,
            "quality_score": 35
          }
        },
        {
          "result_id": "948b77a40a788c81440c6b30420cd35e",
          "position": 33,
          "page_position": 33,
          "retrieval_features": {
            "bm25_score": -4.065359592437744,
            "vector_score": 0,
            "rrf_score": 0.012987012987012988,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 75,
            "quality_score": 55
          }
        },
        {
          "result_id": "2b4393da525b5046d60e9644ceab324b",
          "position": 34,
          "page_position": 34,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.28312222462163894,
            "rrf_score": 0.012987012987012988,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "ae426a59133ae89a7597c41355460081",
          "position": 35,
          "page_position": 35,
          "retrieval_features": {
            "bm25_score": -4.065359592437744,
            "vector_score": 0,
            "rrf_score": 0.01282051282051282,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 78,
            "quality_score": 55
          }
        },
        {
          "result_id": "9478389ec219ad4374a646e3dc664cdb",
          "position": 36,
          "page_position": 36,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2863361664810069,
            "rrf_score": 0.01282051282051282,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "f513b60b58a176c212ac6d5ec2e3e1ac",
          "position": 37,
          "page_position": 37,
          "retrieval_features": {
            "bm25_score": -4.065359592437744,
            "vector_score": 0,
            "rrf_score": 0.012658227848101266,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 74,
            "quality_score": 55
          }
        },
        {
          "result_id": "98fabb2c248b667551daceefc03fc7a5",
          "position": 38,
          "page_position": 38,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.28774694873410644,
            "rrf_score": 0.012658227848101266,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 65,
            "quality_score": 35
          }
        },
        {
          "result_id": "27620e78ab28c3206caf9a0faf64419a",
          "position": 39,
          "page_position": 39,
          "retrieval_features": {
            "bm25_score": -3.8770406246185303,
            "vector_score": 0,
            "rrf_score": 0.0125,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 70,
            "quality_score": 45
          }
        },
        {
          "result_id": "efb2fa102be3e3dd8df561979c167743",
          "position": 40,
          "page_position": 40,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.28782719373703003,
            "rrf_score": 0.0125,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "ec726463e49c7a651aa3e31e1e11478e",
          "position": 41,
          "page_position": 41,
          "retrieval_features": {
            "bm25_score": -3.8770406246185303,
            "vector_score": 0,
            "rrf_score": 0.012345679012345678,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 107,
            "quality_score": 55
          }
        },
        {
          "result_id": "086a49e56c752e8a1819fd92dfd44fa9",
          "position": 42,
          "page_position": 42,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.28785645961761475,
            "rrf_score": 0.012345679012345678,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "170379540ed9e23b627bc860d1c61084",
          "position": 43,
          "page_position": 43,
          "retrieval_features": {
            "bm25_score": -3.7053959369659424,
            "vector_score": 0,
            "rrf_score": 0.012195121951219513,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 75,
            "quality_score": 55
          }
        },
        {
          "result_id": "7779491d52294cf236b0fe964c61d418",
          "position": 44,
          "page_position": 44,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.28823643922805786,
            "rrf_score": 0.012195121951219513,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "170379540ed9e23b627bc860d1c61084",
          "position": 45,
          "page_position": 45,
          "retrieval_features": {
            "bm25_score": -3.7053959369659424,
            "vector_score": 0,
            "rrf_score": 0.012048192771084338,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 75,
            "quality_score": 55
          }
        },
        {
          "result_id": "e8b68f1a6584eb7abce5d468cfa81aea",
          "position": 46,
          "page_position": 46,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2885020971298218,
            "rrf_score": 0.012048192771084338,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 61,
            "quality_score": 35
          }
        },
        {
          "result_id": "d4b416c0cc6da4f46fe3138b41144704",
          "position": 47,
          "page_position": 47,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2886697053909302,
            "rrf_score": 0.011904761904761904,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 35
          }
        },
        {
          "result_id": "48684bf6750b371a2caabf85d7dc0af7",
          "position": 48,
          "page_position": 48,
          "retrieval_features": {
            "bm25_score": -3.7053959369659424,
            "vector_score": 0,
            "rrf_score": 0.011904761904761904,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 71,
            "quality_score": 45
          }
        },
        {
          "result_id": "57bcf4186f79592993bce2ebef00db8d",
          "position": 49,
          "page_position": 49,
          "retrieval_features": {
            "bm25_score": -3.7053959369659424,
            "vector_score": 0,
            "rrf_score": 0.011764705882352941,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 111,
            "quality_score": 55
          }
        },
        {
          "result_id": "7c46fc35e4cef9909a23ceba4c8992b6",
          "position": 50,
          "page_position": 50,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.28952616453170776,
            "rrf_score": 0.011764705882352941,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "549511bb8a872b123e95529cc3ab45b6",
          "position": 51,
          "page_position": 51,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.28957176208496094,
            "rrf_score": 0.011627906976744186,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 72,
            "quality_score": 35
          }
        },
        {
          "result_id": "c0e464376b1bc6c52b210db4eb36c2ef",
          "position": 52,
          "page_position": 52,
          "retrieval_features": {
            "bm25_score": -3.7053959369659424,
            "vector_score": 0,
            "rrf_score": 0.011627906976744186,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 147,
            "quality_score": 45
          }
        },
        {
          "result_id": "5584cc5b24e19de5f84d4f0f8e755de5",
          "position": 53,
          "page_position": 53,
          "retrieval_features": {
            "bm25_score": -3.5483052730560303,
            "vector_score": 0,
            "rrf_score": 0.011494252873563218,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 64,
            "quality_score": 45
          }
        },
        {
          "result_id": "8a890b2edda16023277714fac0190997",
          "position": 54,
          "page_position": 54,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2899128967471645,
            "rrf_score": 0.011494252873563218,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "6319580c39d804b9e69f797236dacc06",
          "position": 55,
          "page_position": 55,
          "retrieval_features": {
            "bm25_score": -3.5483052730560303,
            "vector_score": 0,
            "rrf_score": 0.011363636363636364,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 45
          }
        },
        {
          "result_id": "03adef5dfddd9224f1844db1c5f5eb5b",
          "position": 56,
          "page_position": 56,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29008185863494873,
            "rrf_score": 0.011363636363636364,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 78,
            "quality_score": 35
          }
        },
        {
          "result_id": "7c06c141bf3af5b0ddf388cec2269768",
          "position": 57,
          "page_position": 57,
          "retrieval_features": {
            "bm25_score": -3.4039924144744873,
            "vector_score": 0,
            "rrf_score": 0.011235955056179775,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 69,
            "quality_score": 55
          }
        },
        {
          "result_id": "caafcd46441a519054a8af0b9a2944fd",
          "position": 58,
          "page_position": 58,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29044419527053833,
            "rrf_score": 0.011235955056179775,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 61,
            "quality_score": 35
          }
        },
        {
          "result_id": "dc1059e5fabd81b3e147f76eb3923060",
          "position": 59,
          "page_position": 59,
          "retrieval_features": {
            "bm25_score": -3.4039924144744873,
            "vector_score": 0,
            "rrf_score": 0.011111111111111112,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 62,
            "quality_score": 55
          }
        },
        {
          "result_id": "3d12636777e5b779fd757c85b74a2eef",
          "position": 60,
          "page_position": 60,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29049966987969333,
            "rrf_score": 0.011111111111111112,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 62,
            "quality_score": 55
          }
        },
        {
          "result_id": "ef0a68b42f6e31302f68813dcedb5802",
          "position": 61,
          "page_position": 61,
          "retrieval_features": {
            "bm25_score": -3.4039924144744873,
            "vector_score": 0,
            "rrf_score": 0.01098901098901099,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": false,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 62,
            "quality_score": 55
          }
        },
        {
          "result_id": "f023c16dc2e3d1c5e96e0c99a79d23a5",
          "position": 62,
          "page_position": 62,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2906381314612536,
            "rrf_score": 0.01098901098901099,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 77,
            "quality_score": 35
          }
        },
        {
          "result_id": "af7dc9da8370c099be124ccc6b3fb14c",
          "position": 63,
          "page_position": 63,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.290851354598999,
            "rrf_score": 0.010869565217391304,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 75,
            "quality_score": 35
          }
        },
        {
          "result_id": "32d7d15fa36b0598f18b8ed1e31fb9df",
          "position": 64,
          "page_position": 64,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2909395098686218,
            "rrf_score": 0.010752688172043012,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "541e1c5bf54f23acff6a5e0d6b972173",
          "position": 65,
          "page_position": 65,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2909952998161316,
            "rrf_score": 0.010638297872340425,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "7d661648659d6842d36b72f361993398",
          "position": 66,
          "page_position": 66,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2911815643310547,
            "rrf_score": 0.010526315789473684,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 63,
            "quality_score": 35
          }
        },
        {
          "result_id": "2a30650f200d14d27865d2933464ac0b",
          "position": 67,
          "page_position": 67,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2912587908285492,
            "rrf_score": 0.010416666666666666,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "8398661d45340b639a3fab6136785ce2",
          "position": 68,
          "page_position": 68,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29136067628860474,
            "rrf_score": 0.010309278350515464,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 61,
            "quality_score": 35
          }
        },
        {
          "result_id": "23d6627e3e773d8d1012bc9f4ad26122",
          "position": 69,
          "page_position": 69,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2920299768447876,
            "rrf_score": 0.01020408163265306,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "ef16a9890c102723574683c2796d4c26",
          "position": 70,
          "page_position": 70,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2921895980834961,
            "rrf_score": 0.010101010101010102,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "66d8bb8f2e8acbdce4c160fad9968c04",
          "position": 71,
          "page_position": 71,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2927788496017456,
            "rrf_score": 0.01,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "f10d19e9c2e37a2dfa7674d2da34a78e",
          "position": 72,
          "page_position": 72,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2929489437968156,
            "rrf_score": 0.009900990099009901,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "fbecc792bb099d855660b2104d712598",
          "position": 73,
          "page_position": 73,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2930419445037842,
            "rrf_score": 0.00980392156862745,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 91,
            "quality_score": 35
          }
        },
        {
          "result_id": "6105b00b7afdcbad5e908fbd8e2d386f",
          "position": 74,
          "page_position": 74,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2930704355239868,
            "rrf_score": 0.009708737864077669,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 139,
            "quality_score": 45
          }
        },
        {
          "result_id": "ac615795843bab6e061cd220e5ef6dfe",
          "position": 75,
          "page_position": 75,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29309380054473877,
            "rrf_score": 0.009615384615384616,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 76,
            "quality_score": 35
          }
        },
        {
          "result_id": "8b916600c629d7f11a4810120a39eb3f",
          "position": 76,
          "page_position": 76,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29326117038726807,
            "rrf_score": 0.009523809523809525,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "0df3f141b48c0508a90f252240776726",
          "position": 77,
          "page_position": 77,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2935824990272522,
            "rrf_score": 0.009433962264150943,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 65,
            "quality_score": 35
          }
        },
        {
          "result_id": "fe09ad915e2857f8d633bf5e3f5c86bc",
          "position": 78,
          "page_position": 78,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29405736923217773,
            "rrf_score": 0.009345794392523364,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 63,
            "quality_score": 35
          }
        },
        {
          "result_id": "c09e87846c88d878f81ad00d132566a6",
          "position": 79,
          "page_position": 79,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2940961718559265,
            "rrf_score": 0.009259259259259259,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "531bb3624c0cabc2a6a710cdf9f9ea5b",
          "position": 80,
          "page_position": 80,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2941538095474243,
            "rrf_score": 0.009174311926605505,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "c9f8b3529d08318e9134fc06d1cc08d5",
          "position": 81,
          "page_position": 81,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29449496898084937,
            "rrf_score": 0.00909090909090909,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "176e5847f503ea754385c23424d43e4d",
          "position": 82,
          "page_position": 82,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2945142212799643,
            "rrf_score": 0.009009009009009009,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 82,
            "quality_score": 45
          }
        },
        {
          "result_id": "f6233219b7cc7d328789041dc777e41d",
          "position": 83,
          "page_position": 83,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29451642318118854,
            "rrf_score": 0.008928571428571428,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 68,
            "quality_score": 35
          }
        },
        {
          "result_id": "1c9a1ce60ad4a77ef1ce426f44c64c64",
          "position": 84,
          "page_position": 84,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2946798801422119,
            "rrf_score": 0.008849557522123894,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 35
          }
        },
        {
          "result_id": "5c409098cf534fdb8850c9563ccb37c8",
          "position": 85,
          "page_position": 85,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.294818639755249,
            "rrf_score": 0.008771929824561403,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 83,
            "quality_score": 35
          }
        },
        {
          "result_id": "f404a85ddbf2b74f6089688f45913ea4",
          "position": 86,
          "page_position": 86,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2948741912841797,
            "rrf_score": 0.008695652173913044,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 86,
            "quality_score": 45
          }
        },
        {
          "result_id": "24dbb9dce1619dd296cab9745faacd40",
          "position": 87,
          "page_position": 87,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29531476781710264,
            "rrf_score": 0.008620689655172414,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "e54d7f0d7dc598c199d2dc6664f26710",
          "position": 88,
          "page_position": 88,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2961576581001282,
            "rrf_score": 0.008547008547008548,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "f7aa812e6b25554eaf10c49cc150ad97",
          "position": 89,
          "page_position": 89,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29615962505340576,
            "rrf_score": 0.00847457627118644,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 70,
            "quality_score": 35
          }
        },
        {
          "result_id": "72309b2653d41ceec838e44380e936aa",
          "position": 90,
          "page_position": 90,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2963469624519348,
            "rrf_score": 0.008403361344537815,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 272,
            "quality_score": 55
          }
        },
        {
          "result_id": "f0907bd39f95d7d6fe4e1668920e0509",
          "position": 91,
          "page_position": 91,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2963513135910034,
            "rrf_score": 0.008333333333333333,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 69,
            "quality_score": 35
          }
        },
        {
          "result_id": "05a061a76639c08d916e1d2e85f3e39a",
          "position": 92,
          "page_position": 92,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2965620756149292,
            "rrf_score": 0.008264462809917356,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "492d0dddc55073fdd80032bbc521b4ca",
          "position": 93,
          "page_position": 93,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29662901163101196,
            "rrf_score": 0.00819672131147541,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "06bdf4075b72b1f0216c6d2bcdc91d4b",
          "position": 94,
          "page_position": 94,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2966909408569336,
            "rrf_score": 0.008130081300813009,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 62,
            "quality_score": 35
          }
        },
        {
          "result_id": "052708f43192d392888b918dd9293251",
          "position": 95,
          "page_position": 95,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29705071449279785,
            "rrf_score": 0.008064516129032258,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 68,
            "quality_score": 35
          }
        },
        {
          "result_id": "d47efe5dc6b4eb94f818ce7be1bb0a3b",
          "position": 96,
          "page_position": 96,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29709362983703613,
            "rrf_score": 0.008,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 280,
            "quality_score": 45
          }
        },
        {
          "result_id": "5f146c2f6b0de6c68e4e963394296661",
          "position": 97,
          "page_position": 97,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2971458080833137,
            "rrf_score": 0.007936507936507936,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 68,
            "quality_score": 35
          }
        },
        {
          "result_id": "c4b51877ddca5e6326d9ef9f543c33a0",
          "position": 98,
          "page_position": 98,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2972562731947723,
            "rrf_score": 0.007874015748031496,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 61,
            "quality_score": 35
          }
        },
        {
          "result_id": "312c9ddb409e06484bfe32b269e812b2",
          "position": 99,
          "page_position": 99,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.2973552942276001,
            "rrf_score": 0.0078125,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": false,
            "posted_age_days": 92,
            "quality_score": 35
          }
        },
        {
          "result_id": "3516c733e1efd6923d97842996a0a073",
          "position": 100,
          "page_position": 100,
          "retrieval_features": {
            "bm25_score": 0,
            "vector_score": 0.29763513803482056,
            "rrf_score": 0.007751937984496124,
            "text_match_title": false,
            "text_match_employer": false,
            "role_match": true,
            "benefit_verified": true,
            "salary_disclosed": true,
            "posted_age_days": 141,
            "quality_score": 55
          }
        }
      ]
    },
    "context_signature": "v0XQTZnEKfN8TUgXztKVZL1n43wFL_4dAN-BfvF_mXQ",
    "event_token": "v0XQTZnEKfN8TUgXztKVZL1n43wFL_4dAN-BfvF_mXQ"
  }
}