{
  "results": [
    {
      "id": "5f2f4cc5a3a438315241963ac3ab1eef",
      "title": "High Performance Computing Engineer",
      "employer_name": "Microsoft",
      "employer_slug": "microsoft",
      "location_text": "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": 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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2026-02-11T03:54:27.000Z",
      "apply_url": "https://apply.careers.microsoft.com/careers/job/1970393556752268",
      "apply_url_verified": false,
      "ats": "microsoft_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "High Performance Computing Engineer US",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Industrial",
      "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.query.description_excerpt.59e9114aeadc202301",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "5f2f4cc5a3a438315241963ac3ab1eef",
          "signal_type": "query_match",
          "display_text": "Description: \"computing\"",
          "tooltip": "Description matched \"computing\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "High Performance Computing Engineer US",
          "matched_input": "computing",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c4d15409975039d9fe8d:5f2f4cc5a3a438315241963ac3ab1eef:description:computing",
          "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.cd780230aca77a5dbe",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "5f2f4cc5a3a438315241963ac3ab1eef",
          "signal_type": "query_match",
          "display_text": "Title: \"computing\"",
          "tooltip": "Title matched \"computing\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "High Performance Computing Engineer",
          "matched_input": "computing",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c4d15409975039d9fe8d:5f2f4cc5a3a438315241963ac3ab1eef:title:computing",
          "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.d79ff0976101d472f7",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "5f2f4cc5a3a438315241963ac3ab1eef",
          "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": "High Performance Computing Engineer",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:08526566ce5ffad2b56381d9",
          "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.b6b19c57c3b5ad7479",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "5f2f4cc5a3a438315241963ac3ab1eef",
          "signal_type": "query_match",
          "display_text": "Title: \"computing\"",
          "tooltip": "Title contains \"computing\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "High Performance Computing Engineer",
          "matched_input": "computing",
          "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.409a5bd1af85bffd12",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "5f2f4cc5a3a438315241963ac3ab1eef",
          "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.cefa821a8658470422",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.67cffa1247f7b06fcc",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "5f2f4cc5a3a438315241963ac3ab1eef",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "cedf2e77e256541d108ffcb3132cffab",
      "title": "Channel Compute Specialist - Commercial(e) Spécialiste Compute H/F",
      "employer_name": "Hewlett Packard Enterprise",
      "employer_slug": "hewlett-packard-enterprise",
      "location_text": "Puteaux, Hauts-de-Seine, France",
      "country": "FR",
      "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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2026-01-27T00:00:00.000Z",
      "apply_url": "https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Puteaux-Hauts-de-Seine-France/Channel-Compute-Specialist---Commercial-e--Spcialiste-Compute-H-F_1200921-3/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Channel Compute Specialist - Commercial(e) Spécialiste Compute H/F Puteaux, Hauts-de-Seine, France Embrace the role of a Channel Compute Specialist and drive commercial sales growth with Hewlett Packard Enterprise. Leverage your expertise in channel sales, negotiation, and client engagement to close deals and expand opportunities. If you excel in consultative selling and thrive in a dynamic environment, this is your next career move.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": null,
      "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.semantic.title.bf88514b3fc9308838",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "cedf2e77e256541d108ffcb3132cffab",
          "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": "Channel Compute Specialist - Commercial(e) Spécialiste Compute H/F",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:9823c26700de97d7c24d2d83",
          "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.0fa5b0e1e80019cc0f",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "cedf2e77e256541d108ffcb3132cffab",
          "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.9227a326628fc5e7f6",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.6e626724eea8854ebb",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "cedf2e77e256541d108ffcb3132cffab",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "1ed8bdd461032853245bc55a95b5488c",
      "title": "Critical Compute Sales Specialist",
      "employer_name": "Hewlett Packard Enterprise",
      "employer_slug": "hewlett-packard-enterprise",
      "location_text": "All, Illinois, United States of America",
      "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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2026-06-07T00:00:00.000Z",
      "apply_url": "https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/All-Illinois-United-States-of-America/Critical-Compute-Sales-Specialist_1206428-2/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Critical Compute Sales Specialist All, Illinois, United States of America Embrace the opportunity to become a Critical Compute Sales Specialist and drive enterprise compute solutions for mission-critical clients. Leverage your expertise in SAP, Oracle, and high-end compute platforms to build executive relationships, close complex deals, and shape strategic sales initiatives. Grow your career with a global leader in cloud and enterprise technology.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": null,
      "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.semantic.title.67e9cd8a98ba122fce",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "1ed8bdd461032853245bc55a95b5488c",
          "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": "Critical Compute Sales Specialist",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:28af3d998e565495fa6d7b11",
          "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.05411f96e22e0a226a",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "1ed8bdd461032853245bc55a95b5488c",
          "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.20a913dbcad589c611",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.b09f28f5a0837d6c9f",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "1ed8bdd461032853245bc55a95b5488c",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "ec8f0455c57bd44a99dfcc856aa6bd6e",
      "title": "Computer Scientist ( Python )",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "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": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Advanced-Analytics---Reporting-Analyst_R167740-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Scientist ( Python ) Bangalore posted: Posted Today",
      "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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Technology",
      "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.1d2483488b552f16ec",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ec8f0455c57bd44a99dfcc856aa6bd6e",
          "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": "Computer Scientist ( Python )",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:6870bad4a6eccb00d9de2e12",
          "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.ed9a5dd507103d8611",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ec8f0455c57bd44a99dfcc856aa6bd6e",
          "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.81973638ec3ba19645",
          "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
          }
        }
      ]
    },
    {
      "id": "eadfbde7a33a1cea52a7fcd1cf186648",
      "title": "Enterprise Account Manager - Compute",
      "employer_name": "Hewlett Packard Enterprise",
      "employer_slug": "hewlett-packard-enterprise",
      "location_text": "All, British Columbia, Canada",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2026-06-02T00:00:00.000Z",
      "apply_url": "https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/All-British-Columbia-Canada/Enterprise-Account-Manager----Compute_1204816-2/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Enterprise Account Manager - Compute All, British Columbia, Canada Embrace the opportunity to become an Enterprise Account Manager - Compute and drive strategic partnerships with leading clients. Leverage your expertise in compute solutions and sales to deliver business outcomes, build trusted relationships, and shape the future of cloud technology. Grow your career with a global leader in enterprise IT innovation.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "sales",
      "employer_industry": null,
      "employer_size": null,
      "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.semantic.title.71c77ef08840fe40f9",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "eadfbde7a33a1cea52a7fcd1cf186648",
          "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": "Enterprise Account Manager - Compute",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4f979d43a5b6603d80beba76",
          "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.9e2ba312ed29cceb81",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "eadfbde7a33a1cea52a7fcd1cf186648",
          "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.404061311a73140a26",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.1c7367ec33bf7dcc0d",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "eadfbde7a33a1cea52a7fcd1cf186648",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "d4f8de2d3388a9c702f39a8251c4ec3c",
      "title": "Machine Learning Compute Efficiency Lead, Infrastructure & Planning",
      "employer_name": "Apple",
      "employer_slug": "apple",
      "location_text": "Cupertino, United States of America",
      "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": 181100,
      "salary_max": 318400,
      "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": 181100,
      "base_salary_max": 318400,
      "salary_disclosed": true,
      "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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2026-04-23T00:41:08.672Z",
      "apply_url": "https://jobs.apple.com/en-us/details/200659537/machine-learning-compute-efficiency-lead-infrastructure-planning?team=MLAI",
      "apply_url_verified": false,
      "ats": "apple_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Machine Learning Compute Efficiency Lead, Infrastructure & Planning Cupertino, United States of America Apple's Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple's software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company. As foundation models become increasingly central to Apple's user experiences, maximizing the efficiency of our ML compute is paramount. In this role, you will focus relentlessly on compute efficiency, ensuring that Apple's models run as fast, reliably, and cost-effectively as possible. You will tackle massive optimization challenges, from maximizing hardware utilization across GPUs, TPUs, and custom Apple Silicon, to shaping workload scheduling and capacity allocation for large model serving. We are seeking a Senior Architect with deep expertise in ML infrastructure to act as a linchpin for Apple's foundational inference strategy. You will be instrumental in defining, establishing, and monitoring compute efficiency metrics across the software engineering organization. By partnering closely with model developers and infrastructure providers, your work will directly reduce serving costs, shape core engineering decisions, and enable the highly efficient, scalable inference required to power Apple Intelligence for hundreds of millions of users. - Own and support ML compute management for Apple's inference workloads (GPU, TPU, and custom silicon) to enable large-scale model serving. - Collaborate closely with Apple Intelligence and ML",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": "Technology",
      "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": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.d4c518d5d19f92830b",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "d4f8de2d3388a9c702f39a8251c4ec3c",
          "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 Compute Efficiency Lead, Infrastructure & Planning",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e19a3600668444e7e56b561f",
          "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.404627d408614bbbe4",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "d4f8de2d3388a9c702f39a8251c4ec3c",
          "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.62182d62ce256bd9fe",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.4e0270527d3ee4b5aa",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "d4f8de2d3388a9c702f39a8251c4ec3c",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "40ff43306b60951079f30ecd18b1b2ff",
      "title": "Pre-silicon ML and Compute Framework Engineer, Graphics, Game and ML",
      "employer_name": "Apple",
      "employer_slug": "apple",
      "location_text": "Cupertino, United States of America",
      "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": 181100,
      "salary_max": 318400,
      "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": 181100,
      "base_salary_max": 318400,
      "salary_disclosed": true,
      "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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2026-03-27T21:24:59.682Z",
      "apply_url": "https://jobs.apple.com/en-us/details/200631702/pre-silicon-ml-and-compute-framework-engineer-graphics-game-and-ml?team=SFTWR",
      "apply_url_verified": false,
      "ats": "apple_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Pre-silicon ML and Compute Framework Engineer, Graphics, Game and ML Cupertino, United States of America Apple's Graphics, Games, and Machine Learning team provides the compute and graphics software foundation across all of our innovative products including iPhone, iPad, Apple TV, Mac, Vision Pro, and Apple Watch. The Pre-silicon Compute Frameworks team is seeking a senior engineer to influence and lead new features in Metal and Metal compute frameworks through our next-generation GPU hardware roadmap. The Pre-silicon Compute Frameworks team is responsible for API design and development across Metal and Metal compute frameworks for upcoming hardware features in future Apple Silicon GPUs. As a member of this team, you will contribute to API design, development, and performance analysis across Metal and Metal compute frameworks for future Apple Silicon GPUs. Along with API development, you will develop critical compute and ML use cases to showcase new features. You will partner with other leaders across Apple software and hardware organizations to propose, develop, and evaluate hardware features for new silicon generations from emulation through silicon. Develop and deliver software representing Apple's roadmap for compute and ML technologies during hardware development. Design APIs that enable developers to make full use of new hardware features in the simplest way possible. Partner with cross-functional teams to ensure our software and hardware roadmap includes the state-of-the-art features and performance. Contribute to the bring-up and verification of new chips and products using our new GPUs. Minimum Qualifications: BS/MS/PhD or equivalent in Computer Science or related field with 5",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Technology",
      "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": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.36c1c49e80a21cd5f1",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "40ff43306b60951079f30ecd18b1b2ff",
          "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": "Pre-silicon ML and Compute Framework Engineer, Graphics, Game and ML",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:41ca58fe0b3657350c7e7886",
          "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.398673f5bedad42155",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "40ff43306b60951079f30ecd18b1b2ff",
          "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.9ed7e5c1a854a1e31a",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.cfe7509acc5fe442b0",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "40ff43306b60951079f30ecd18b1b2ff",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "f6f1df4fd0101b8e7a8ac57b2f5e2d0d",
      "title": "Senior Scientist - Computational Protein Design/Bioinformatics",
      "employer_name": "Danaher Corporation",
      "employer_slug": "danaher-corporation",
      "location_text": "Cambridge, United Kingdom",
      "country": "GB",
      "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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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://danaher.wd1.myworkdayjobs.com/DanaherJobs/job/Cambridge-United-Kingdom/Senior-Scientist---Computational-Protein-Design-Bioinformatics_R1311173/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Scientist - Computational Protein Design/Bioinformatics Cambridge, United Kingdom Join our team as a Senior Scientist - Computational Protein Design and Bioinformatics and lead cutting-edge computational design for miniproteins, VHHs, and antibodies. Collaborate with experts, leverage AI/ML, and drive innovation in autonomous wet-lab environments. Shape the future of life sciences with Abcam in Cambridge. Grow your impact with us!",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "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.semantic.title.b83ba93654151dd1df",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "f6f1df4fd0101b8e7a8ac57b2f5e2d0d",
          "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 Scientist - Computational Protein Design/Bioinformatics",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:1e73b86d2e2beb1a84e759bd",
          "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.234ed41764c41c10b0",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "f6f1df4fd0101b8e7a8ac57b2f5e2d0d",
          "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.c21a9d6078d4d88607",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.8a50d38b3edd6862b2",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "f6f1df4fd0101b8e7a8ac57b2f5e2d0d",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "ae5562d78b8edc7eb96a4e6577f09274",
      "title": "Computer Vision and Machine Learning Engineer",
      "employer_name": "Apple",
      "employer_slug": "apple",
      "location_text": "Sunnyvale, United States of America",
      "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": 147400,
      "salary_max": 272100,
      "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": 147400,
      "base_salary_max": 272100,
      "salary_disclosed": true,
      "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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2025-01-08T01:16:56.756Z",
      "apply_url": "https://jobs.apple.com/en-us/details/200585934/computer-vision-and-machine-learning-engineer?team=MLAI",
      "apply_url_verified": false,
      "ats": "apple_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Vision and Machine Learning Engineer Sunnyvale, United States of America The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing. We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day. We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product. In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Technology",
      "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": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ce3ec584cf98e2aacb",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ae5562d78b8edc7eb96a4e6577f09274",
          "signal_type": "query_match",
          "display_text": "Description: \"computing\"",
          "tooltip": "Description matched \"computing\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Computer Vision and Machine Learning Engineer Sunnyvale, United States of America The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing. We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day. We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product. In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and",
          "matched_input": "computing",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c4d15409975039d9fe8d:ae5562d78b8edc7eb96a4e6577f09274:description:computing",
          "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.01e4e69e59f789d3c7",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ae5562d78b8edc7eb96a4e6577f09274",
          "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": "Computer Vision and Machine Learning Engineer Sunnyvale, United States of America The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing. We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day. We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product. In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:935c4ca8cba6ca1f3f649d33",
          "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.e6ac4aff305b0c5747",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ae5562d78b8edc7eb96a4e6577f09274",
          "signal_type": "query_match",
          "display_text": "Description: \"computing\"",
          "tooltip": "Description contains \"computing\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Computer Vision and Machine Learning Engineer Sunnyvale, United States of America The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing. We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day. We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product. In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and",
          "matched_input": "computing",
          "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.95704472740647b3c5",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ae5562d78b8edc7eb96a4e6577f09274",
          "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.c6651fbfbe83a872c1",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.9b6214f97922a60cbe",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ae5562d78b8edc7eb96a4e6577f09274",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "09b78f5fbfe8334291181582f0112b88",
      "title": "Computer Scientist I (Android)",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "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": "2026-06-08T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist-I_R169085",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Scientist I (Android) Bangalore 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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Technology",
      "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.f440b8082819265e63",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "09b78f5fbfe8334291181582f0112b88",
          "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": "Computer Scientist I (Android)",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:defdfad1fa541bf8c70215a3",
          "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.c14e6567eb1f8f3d46",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "09b78f5fbfe8334291181582f0112b88",
          "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.9ecae197ef9fd355b4",
          "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
          }
        }
      ]
    },
    {
      "id": "75068a5fb4dd908ac2baa49eb75c73e7",
      "title": "Senior Researcher - AI Computer Architecture",
      "employer_name": "Microsoft",
      "employer_slug": "microsoft",
      "location_text": "Cambridge, England, GB",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2026-05-15T06:28:20.000Z",
      "apply_url": "https://apply.careers.microsoft.com/careers/job/1970393556866482",
      "apply_url_verified": false,
      "ats": "microsoft_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Researcher - AI Computer Architecture Cambridge, England, GB",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "other",
      "employer_industry": "Industrial",
      "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.ec69abebc92b339064",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "75068a5fb4dd908ac2baa49eb75c73e7",
          "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 Researcher - AI Computer Architecture",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:2b6e4fbccfc4647b1c02a5d5",
          "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.9f0b91c7a208d254ac",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "75068a5fb4dd908ac2baa49eb75c73e7",
          "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.7b06f27687a3686368",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.5f6b39caf8bf3d0c5f",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "75068a5fb4dd908ac2baa49eb75c73e7",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "2e3f8b34a78fc299870e31dde2e189f0",
      "title": "Senior Computer Scientist - I (Frontend)",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "Noida",
      "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": 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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Software-Development-Engineer-5_R165721",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Computer Scientist - I (Frontend) Noida 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,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Technology",
      "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.b0cfa3fd1581cc7277",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "2e3f8b34a78fc299870e31dde2e189f0",
          "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 Computer Scientist - I (Frontend)",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:1f2983038d6396bfa24cba12",
          "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.5b7a7a3d61cf556399",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "2e3f8b34a78fc299870e31dde2e189f0",
          "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.3d30fd931ba3b738c1",
          "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
          }
        }
      ]
    },
    {
      "id": "c06d4ce6d9f370c5ed77e101efeeab51",
      "title": "Sr Computer Scientist",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Sr-Computer-Scientist_R167171",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr Computer Scientist 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,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Technology",
      "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.bc0dbe168d3c4b6333",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "c06d4ce6d9f370c5ed77e101efeeab51",
          "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": "Sr Computer Scientist",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:dec035c27ca9dce18a688b0d",
          "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.30abb49f70f38cc3ae",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "c06d4ce6d9f370c5ed77e101efeeab51",
          "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.2f510bf7647337a4aa",
          "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
          }
        }
      ]
    },
    {
      "id": "89d2d82d9f5c39243c8f739ec0981b95",
      "title": "Computer Scientist II",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "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": "2026-05-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist-II_R167612",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Scientist II 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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Technology",
      "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.84ad6d4d4923b94202",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "89d2d82d9f5c39243c8f739ec0981b95",
          "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": "Computer Scientist II",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:8f47664150062416d4b165e8",
          "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.7bbb5ea28f1f379f5c",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "89d2d82d9f5c39243c8f739ec0981b95",
          "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.1d0bc86f6ff1becacf",
          "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
          }
        }
      ]
    },
    {
      "id": "a646b31cce4c1525af19628012656a3b",
      "title": "Compute Presales Consultant – Graduate",
      "employer_name": "Hewlett Packard Enterprise",
      "employer_slug": "hewlett-packard-enterprise",
      "location_text": "Amstelveen, North Holland, Netherlands",
      "country": "NL",
      "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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Amstelveen-North-Holland-Netherlands/Presales-Graduate_1195914-1/apply",
      "apply_url_verified": false,
      "ats": "phenom_people",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Compute Presales Consultant – Graduate Amstelveen, North Holland, Netherlands Kickstart your IT career as a Compute Presales Consultant Graduate with Hewlett Packard Enterprise. Gain hands-on experience in solution design, technical support, and cloud computing while collaborating with cross-functional teams. Join a global leader in digital transformation and accelerate your growth in a dynamic, supportive environment. Apply now to shape the future of technology!",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "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.e260f9a499d9ff1a51",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "a646b31cce4c1525af19628012656a3b",
          "signal_type": "query_match",
          "display_text": "Description: \"computing\"",
          "tooltip": "Description matched \"computing\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Compute Presales Consultant – Graduate Amstelveen, North Holland, Netherlands Kickstart your IT career as a Compute Presales Consultant Graduate with Hewlett Packard Enterprise. Gain hands-on experience in solution design, technical support, and cloud computing while collaborating with cross-functional teams. Join a global leader in digital transformation and accelerate your growth in a dynamic, supportive environment. Apply now to shape the future of technology!",
          "matched_input": "computing",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_c4d15409975039d9fe8d:a646b31cce4c1525af19628012656a3b:description:computing",
          "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.b724649e1f15d67c0c",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "a646b31cce4c1525af19628012656a3b",
          "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": "Compute Presales Consultant – Graduate Amstelveen, North Holland, Netherlands Kickstart your IT career as a Compute Presales Consultant Graduate with Hewlett Packard Enterprise. Gain hands-on experience in solution design, technical support, and cloud computing while collaborating with cross-functional teams. Join a global leader in digital transformation and accelerate your growth in a dynamic, supportive environment. Apply now to shape the future of technology!",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:3e5189b4bfe60258fc6950fe",
          "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.cae4506fa2334200ab",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "a646b31cce4c1525af19628012656a3b",
          "signal_type": "query_match",
          "display_text": "Description: \"computing\"",
          "tooltip": "Description contains \"computing\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Compute Presales Consultant – Graduate Amstelveen, North Holland, Netherlands Kickstart your IT career as a Compute Presales Consultant Graduate with Hewlett Packard Enterprise. Gain hands-on experience in solution design, technical support, and cloud computing while collaborating with cross-functional teams. Join a global leader in digital transformation and accelerate your growth in a dynamic, supportive environment. Apply now to shape the future of technology!",
          "matched_input": "computing",
          "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.27a471a1eed5afd6eb",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "a646b31cce4c1525af19628012656a3b",
          "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.7c64da6caa71cb8934",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.9936fb9a69208a4c4f",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "a646b31cce4c1525af19628012656a3b",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "00f7e9551056ca7ce7518e906dc8999f",
      "title": "Robotics Computer Engineer",
      "employer_name": "Leidos",
      "employer_slug": "leidos",
      "location_text": "Huntsville, AL",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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://leidos.wd5.myworkdayjobs.com/External/job/Huntsville-AL/Robotics-Computer-Engineer_R-00183762",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Robotics Computer Engineer Huntsville, AL 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://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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Defense",
      "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.39d9413872019c8961",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "00f7e9551056ca7ce7518e906dc8999f",
          "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": "Robotics Computer Engineer",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:f9f4c26ef26b635f8a713ef0",
          "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.c809b36400bf5bc091",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "00f7e9551056ca7ce7518e906dc8999f",
          "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.689860702d1c5f4a69",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.98f181a99a068cada0",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "00f7e9551056ca7ce7518e906dc8999f",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-05-07"
          }
        }
      ]
    },
    {
      "id": "f96a2a9fda9bff01e5d5c942e53999c1",
      "title": "Senior Computer Scientist",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "Noida",
      "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": 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": "2026-06-12T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Senior-Computer-Scientist_R167564",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Computer Scientist Noida posted: Posted Today",
      "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,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Technology",
      "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.2ff4bddc3c6aa19929",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "f96a2a9fda9bff01e5d5c942e53999c1",
          "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 Computer Scientist",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:7c09bbd37dd1bd5e0235bc27",
          "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.7affd97cd8d1142188",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "f96a2a9fda9bff01e5d5c942e53999c1",
          "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.458a5d2eae44d2fe66",
          "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
          }
        }
      ]
    },
    {
      "id": "fcbbdceb29f354aff1232617005a565d",
      "title": "Computer Scientist 1",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "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": "2026-05-14T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Computer-Scientist-1_R168232-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Scientist 1 Bangalore posted: Posted 29 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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Technology",
      "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.95a07fb6050a3d2004",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "fcbbdceb29f354aff1232617005a565d",
          "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": "Computer Scientist 1",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:7a1000b0c4998df2cb6d2ac2",
          "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.cde0a618f73f05700b",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "fcbbdceb29f354aff1232617005a565d",
          "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.ee6a2cba2e61c97740",
          "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
          }
        }
      ]
    },
    {
      "id": "9239adc05d4ee622ac29cb7eccf29fab",
      "title": "Computer Scientist-I",
      "employer_name": "Adobe Inc.",
      "employer_slug": "adobe",
      "location_text": "Noida",
      "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": 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": "2026-05-20T00:00:00.000Z",
      "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Computer-Scientist-I_R167521",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Scientist-I Noida posted: Posted 23 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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Technology",
      "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.8bb7a8b0c8d6e5fcd1",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "9239adc05d4ee622ac29cb7eccf29fab",
          "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": "Computer Scientist-I",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:415b9fac2c60fa7930b4562e",
          "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.d582dbb850dcf27f71",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "9239adc05d4ee622ac29cb7eccf29fab",
          "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.ac09b396bae8add01a",
          "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
          }
        }
      ]
    },
    {
      "id": "6d5dc744557c2011e9661fafc2754761",
      "title": "Sr. Computer Scientist",
      "employer_name": "Leidos",
      "employer_slug": "leidos",
      "location_text": "Honolulu, HI",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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/Honolulu-HI/Computer-Scientist_R-00180956",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Sr. Computer Scientist Honolulu, HI 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,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Defense",
      "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.c8f5cd7a15aa48b591",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "6d5dc744557c2011e9661fafc2754761",
          "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": "Sr. Computer Scientist",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:7df454e34bde6c6af0f0d635",
          "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.044ffe479290d4b2b4",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "6d5dc744557c2011e9661fafc2754761",
          "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.aadb6ca1826414132c",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.5c6180223bc5f63a05",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "6d5dc744557c2011e9661fafc2754761",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-05-07"
          }
        }
      ]
    },
    {
      "id": "66d6274d0c0cf0c3672dab87ff30a379",
      "title": "Compute Orchestration & Scheduling",
      "employer_name": "Microsoft",
      "employer_slug": "microsoft",
      "location_text": "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": 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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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": "2025-12-08T21:25:37.000Z",
      "apply_url": "https://apply.careers.microsoft.com/careers/job/1970393556629380",
      "apply_url_verified": false,
      "ats": "microsoft_custom",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Compute Orchestration & Scheduling US",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": "Industrial",
      "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.d858ac2bc1e61b1b6c",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "66d6274d0c0cf0c3672dab87ff30a379",
          "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": "Compute Orchestration & Scheduling",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:552055610ef75aac79a15739",
          "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.f5c262ebcce05da1f8",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "66d6274d0c0cf0c3672dab87ff30a379",
          "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.7aa8a38580c6d7ca4d",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.822b5db6053af8b699",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "66d6274d0c0cf0c3672dab87ff30a379",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-06-13T01:18:42.546Z"
          }
        }
      ]
    },
    {
      "id": "d9b681d91cef9cc0d8d3d79497e71868",
      "title": "Computer Scientist",
      "employer_name": "Leidos",
      "employer_slug": "leidos",
      "location_text": "Honolulu, HI",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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/Honolulu-HI/Computer-Scientist_R-00180962-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Scientist Honolulu, HI 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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Defense",
      "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.802b1db54b40b36b6a",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "d9b681d91cef9cc0d8d3d79497e71868",
          "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": "Computer Scientist",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:81b0c900425da63543a546a5",
          "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.80e8803fa41d4a146c",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "d9b681d91cef9cc0d8d3d79497e71868",
          "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.d78322f1b0d894581e",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.36ef9c34464002294c",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "d9b681d91cef9cc0d8d3d79497e71868",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-05-07"
          }
        }
      ]
    },
    {
      "id": "90a03d2e45941c6645655e40f24d64eb",
      "title": "Computer Scientist Associate",
      "employer_name": "Leidos",
      "employer_slug": "leidos",
      "location_text": "Honolulu, HI",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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/Honolulu-HI/Computer-Scientist-Associate_R-00180968",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Scientist Associate Honolulu, HI 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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Defense",
      "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.1aa997037f94b9b738",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "90a03d2e45941c6645655e40f24d64eb",
          "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": "Computer Scientist Associate",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:cc21054e75cc2bc569ddcaf1",
          "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.67bd52c594fa5bb072",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "90a03d2e45941c6645655e40f24d64eb",
          "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.5d99223df025410de2",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.8cc51481a46d1363d1",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "90a03d2e45941c6645655e40f24d64eb",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-05-07"
          }
        }
      ]
    },
    {
      "id": "ac4dd2a6e55175b7837081b5f8c64f2e",
      "title": "Computer Based Training Specialist (Computer Based Training)",
      "employer_name": "The Boeing Company",
      "employer_slug": "boeing",
      "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": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "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://boeing.wd1.myworkdayjobs.com/External_Careers/job/USA---Maryland-Heights-MO/Computer-Based-Training-Specialist--Computer-Based-Training-_JR2026513245-1",
      "apply_url_verified": false,
      "ats": "workday",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Computer Based Training Specialist (Computer Based Training) 2 Locations posted: Posted Yesterday",
      "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://jobs.boeing.com/en/Benefits",
      "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,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "teaching_education",
      "employer_industry": "Defense",
      "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.263f6bf77aa29c3859",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ac4dd2a6e55175b7837081b5f8c64f2e",
          "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": "Computer Based Training Specialist (Computer Based Training)",
          "matched_input": "quera computing",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4305b0973eabd0de17434e3b",
          "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.39aa2371f4bdfe95f5",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ac4dd2a6e55175b7837081b5f8c64f2e",
          "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.e3c642c5bdb95742c4",
          "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
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.k401.f35f1d302fdcd0de6b",
          "query_id": "gq_c4d15409975039d9fe8d",
          "job_id": "ac4dd2a6e55175b7837081b5f8c64f2e",
          "signal_type": "trust_signal",
          "display_text": "Verified 401(k) evidence",
          "tooltip": "401(k) value has source evidence and a fresh verification timestamp.",
          "source_binding": "row_trust_evidence",
          "source_field": "k401_match",
          "source_value": "yes",
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 22,
          "mobile_priority": 11,
          "ui": {
            "icon": "PiggyBank",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
            "source_label": "401(k) source",
            "source_date": "2026-05-07"
          }
        }
      ]
    }
  ],
  "total": 30,
  "page": 1,
  "per_page": 24,
  "applied_filters": {
    "q": "QuEra Computing",
    "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": [
      "quera",
      "computing"
    ],
    "active_filter_keys": [
      "verified_benefits_only"
    ],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": null
}