{ "results": [ { "id": "a5aa4a76f6922623c27c24d710ea6b34", "title": "Senior Compute HW Engineer", "employer_name": "Illumina, Inc.", "employer_slug": "illumina", "location_text": "US - California - San Diego", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-01T00:00:00.000Z", "apply_url": "https://illumina.wd1.myworkdayjobs.com/illumina-careers/job/US---California---San-Diego/Senior-Compute-HW-Engineer_42749-JOB", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Compute HW Engineer US - California - San Diego posted: Posted 11 Days Ago", "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": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1110803/000111080326000024/ilmn-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1110803/000111080326000024/ilmn-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.2c5601536bad018be3", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a5aa4a76f6922623c27c24d710ea6b34", "signal_type": "query_match", "display_text": "Title: \"compute\"", "tooltip": "Title contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Senior Compute HW Engineer", "matched_input": "compute", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.3f94b813848922beda", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a5aa4a76f6922623c27c24d710ea6b34", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:a5aa4a76f6922623c27c24d710ea6b34:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1110803/000111080326000024/ilmn-20251228.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1110803/000111080326000024/ilmn-20251228.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://illumina.wd1.myworkdayjobs.com/illumina-careers/job/US---California---San-Diego/Senior-Compute-HW-Engineer_42749-JOB", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://illumina.wd1.myworkdayjobs.com/illumina-careers/job/US---California---San-Diego/Senior-Compute-HW-Engineer_42749-JOB", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "96ea91544cd1a0884534bd5216284ca8", "title": "Data Scientist, Finance Forecasting", "employer_name": "ClickHouse", "employer_slug": "clickhouse", "location_text": "San Francisco, USA (Hybrid)", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "timezone_overlap_hours": 6, "salary_min": 215000, "salary_max": 240000, "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": 215000, "base_salary_max": 240000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "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": [ "cbinsights_unicorn" ], "posted_at": "2026-04-15T16:01:48.000Z", "apply_url": "https://job-boards.greenhouse.io/clickhouse/jobs/5970141004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Scientist, Finance Forecasting San Francisco, USA (Hybrid) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! ClickHouse is the fastest open-source analytical database in the world, processing billions of rows per second for thousands of organizations. As we scale our cloud business, the decisions that shape pricing, capacity planning, and go-to-market strategy need to be grounded in rigorous quantitative modeling, and that capability is being built from the ground up. We're hiring a founding Data Scientist to build ClickHouse's Finance forecasting and measurement capability from the ground up. You'll own and build the forecasting models, causal measurement programs, and analytical frameworks that directly shape how leadership plans the business. You'll define the approach, build the infrastructure, and set the standard for how data science operates here. Hybrid : We intend to fill this role", "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": 47, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "field": "equity_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_type" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_d", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.5b9aa2aa8856ea9ad5", "query_id": "gq_dad6f1e92322a0102143", "job_id": "96ea91544cd1a0884534bd5216284ca8", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:96ea91544cd1a0884534bd5216284ca8:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/clickhouse/jobs/5970141004", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/clickhouse/jobs/5970141004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/clickhouse/jobs/5970141004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/clickhouse/jobs/5970141004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/clickhouse/jobs/5970141004", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/clickhouse/jobs/5970141004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/clickhouse/jobs/5970141004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/clickhouse/jobs/5970141004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "6c67bac6bcf3d1587e62775a95363288", "title": "Tubing Specialist", "employer_name": "Smiths Group", "employer_slug": "smiths-group", "location_text": "93 Lexington Drive, Laconia, NEW HAMPSHIRE, United States", "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": "GBP", "salary_type": "base", "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": true, "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": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.smartrecruiters.com/SmithsGroup2/744000127718381-tubing-specialist", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Tubing Specialist 93 Lexington Drive, Laconia, NEW HAMPSHIRE, United States Company Description: Ready to make your next move? A career at STS Aerospace allows you to take ownership of challenges, think creatively and be a part of our exciting growth journey. STS Aerospace in Laconia, NH is searching for a Warehouse III - Tubing Specialist to join the team. This position is responsible for accurately carrying out assigned warehouse functions described within this job description. To perform this job successfully, an individual must have strong math skills, organizational skills, attention to detail, computer skills, and be able to perform each essential duty satisfactorily. Individuals will be assigned one or more Primary Functions (Bulk Shipper, Hose Specialist and/or Tubing Specialist) and will be required to be a back-up for the other Primary Functions. Reasonable accommodations may be made to enable individuals with disabilities. Job Description: Primary Duty: Tubing Specialist Accurately performs cycle counts on tubing. Verifies the accuracy of orders upon delivery including part number and quantity. Accurately receives incoming tubing using computer software. Verifies calibration of measurement tools used. Inspects for quality compliance using Inspection Method sheets and measurement tools. Reviews certification packages for compliance and completeness. Writes non-conforming material reports as necessary. Collaborates with vendors and suppliers to resolve discrepancies. Uses email to communication with Purchasing Department. Loads/unloads materials onto or from carts, boxes, and racks. Accurately uses computer software to accept/receive materials, print labels, and to log problems with receipts. Attaches identifying parts count tag and labels to", "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": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": 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": "high_school", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.21b5760285e2b38f3e", "query_id": "gq_dad6f1e92322a0102143", "job_id": "6c67bac6bcf3d1587e62775a95363288", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Tubing Specialist 93 Lexington Drive, Laconia, NEW HAMPSHIRE, United States Company Description: Ready to make your next move? A career at STS Aerospace allows you to take ownership of challenges, think creatively and be a part of our exciting growth journey. STS Aerospace in Laconia, NH is searching for a Warehouse III - Tubing Specialist to join the team. This position is responsible for accurately carrying out assigned warehouse functions described within this job description. To perform this job successfully, an individual must have strong math skills, organizational skills, attention to detail, computer skills, and be able to perform each essential duty satisfactorily. Individuals will be assigned one or more Primary Functions (Bulk Shipper, Hose Specialist and/or Tubing Specialist) and will be required to be a back-up for the other Primary Functions. Reasonable accommodations may be made to enable individuals with disabilities. Job Description: Primary Duty: Tubing Specialist Accurately performs cycle counts on tubing. Verifies the accuracy of orders upon delivery including part number and quantity. Accurately receives incoming tubing using computer software. Verifies calibration of measurement tools used. Inspects for quality compliance using Inspection Method sheets and measurement tools. Reviews certification packages for compliance and completeness. Writes non-conforming material reports as necessary. Collaborates with vendors and suppliers to resolve discrepancies. Uses email to communication with Purchasing Department. Loads/unloads materials onto or from carts, boxes, and racks. Accurately uses computer software to accept/receive materials, print labels, and to log problems with receipts. Attaches identifying parts count tag and labels to", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:6c67bac6bcf3d1587e62775a95363288:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.4cbc0bffec6bf8cf68", "query_id": "gq_dad6f1e92322a0102143", "job_id": "6c67bac6bcf3d1587e62775a95363288", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description matched \"compute\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Tubing Specialist 93 Lexington Drive, Laconia, NEW HAMPSHIRE, United States Company Description: Ready to make your next move? A career at STS Aerospace allows you to take ownership of challenges, think creatively and be a part of our exciting growth journey. STS Aerospace in Laconia, NH is searching for a Warehouse III - Tubing Specialist to join the team. This position is responsible for accurately carrying out assigned warehouse functions described within this job description. To perform this job successfully, an individual must have strong math skills, organizational skills, attention to detail, computer skills, and be able to perform each essential duty satisfactorily. Individuals will be assigned one or more Primary Functions (Bulk Shipper, Hose Specialist and/or Tubing Specialist) and will be required to be a back-up for the other Primary Functions. Reasonable accommodations may be made to enable individuals with disabilities. Job Description: Primary Duty: Tubing Specialist Accurately performs cycle counts on tubing. Verifies the accuracy of orders upon delivery including part number and quantity. Accurately receives incoming tubing using computer software. Verifies calibration of measurement tools used. Inspects for quality compliance using Inspection Method sheets and measurement tools. Reviews certification packages for compliance and completeness. Writes non-conforming material reports as necessary. Collaborates with vendors and suppliers to resolve discrepancies. Uses email to communication with Purchasing Department. Loads/unloads materials onto or from carts, boxes, and racks. Accurately uses computer software to accept/receive materials, print labels, and to log problems with receipts. Attaches identifying parts count tag and labels to", "matched_input": "compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:6c67bac6bcf3d1587e62775a95363288:description:compute", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.655a5ba66f394c2751", "query_id": "gq_dad6f1e92322a0102143", "job_id": "6c67bac6bcf3d1587e62775a95363288", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Tubing Specialist 93 Lexington Drive, Laconia, NEW HAMPSHIRE, United States Company Description: Ready to make your next move? A career at STS Aerospace allows you to take ownership of challenges, think creatively and be a part of our exciting growth journey. STS Aerospace in Laconia, NH is searching for a Warehouse III - Tubing Specialist to join the team. This position is responsible for accurately carrying out assigned warehouse functions described within this job description. To perform this job successfully, an individual must have strong math skills, organizational skills, attention to detail, computer skills, and be able to perform each essential duty satisfactorily. Individuals will be assigned one or more Primary Functions (Bulk Shipper, Hose Specialist and/or Tubing Specialist) and will be required to be a back-up for the other Primary Functions. Reasonable accommodations may be made to enable individuals with disabilities. Job Description: Primary Duty: Tubing Specialist Accurately performs cycle counts on tubing. Verifies the accuracy of orders upon delivery including part number and quantity. Accurately receives incoming tubing using computer software. Verifies calibration of measurement tools used. Inspects for quality compliance using Inspection Method sheets and measurement tools. Reviews certification packages for compliance and completeness. Writes non-conforming material reports as necessary. Collaborates with vendors and suppliers to resolve discrepancies. Uses email to communication with Purchasing Department. Loads/unloads materials onto or from carts, boxes, and racks. Accurately uses computer software to accept/receive materials, print labels, and to log problems with receipts. Attaches identifying parts count tag and labels to", "matched_input": "strong", "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.query.description_excerpt.78b5407495ad5f1b9d", "query_id": "gq_dad6f1e92322a0102143", "job_id": "6c67bac6bcf3d1587e62775a95363288", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Tubing Specialist 93 Lexington Drive, Laconia, NEW HAMPSHIRE, United States Company Description: Ready to make your next move? A career at STS Aerospace allows you to take ownership of challenges, think creatively and be a part of our exciting growth journey. STS Aerospace in Laconia, NH is searching for a Warehouse III - Tubing Specialist to join the team. This position is responsible for accurately carrying out assigned warehouse functions described within this job description. To perform this job successfully, an individual must have strong math skills, organizational skills, attention to detail, computer skills, and be able to perform each essential duty satisfactorily. Individuals will be assigned one or more Primary Functions (Bulk Shipper, Hose Specialist and/or Tubing Specialist) and will be required to be a back-up for the other Primary Functions. Reasonable accommodations may be made to enable individuals with disabilities. Job Description: Primary Duty: Tubing Specialist Accurately performs cycle counts on tubing. Verifies the accuracy of orders upon delivery including part number and quantity. Accurately receives incoming tubing using computer software. Verifies calibration of measurement tools used. Inspects for quality compliance using Inspection Method sheets and measurement tools. Reviews certification packages for compliance and completeness. Writes non-conforming material reports as necessary. Collaborates with vendors and suppliers to resolve discrepancies. Uses email to communication with Purchasing Department. Loads/unloads materials onto or from carts, boxes, and racks. Accurately uses computer software to accept/receive materials, print labels, and to log problems with receipts. Attaches identifying parts count tag and labels to", "matched_input": "compute", "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 } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/SmithsGroup2/744000127718381-tubing-specialist", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/SmithsGroup2/744000127718381-tubing-specialist", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/SmithsGroup2/744000127718381-tubing-specialist", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/SmithsGroup2/744000127718381-tubing-specialist", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "6ed87cb566aad3c9eaa7759fd315bb50", "title": "AIML Engineer - Human Perception", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T22:46:47.316Z", "apply_url": "https://jobs.apple.com/en-us/details/200667012/aiml-engineer-human-perception?team=MLAI", "apply_url_verified": false, "ats": "apple_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AIML Engineer - Human Perception Sunnyvale, United States of America The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem. We are looking for an AIML Engineer with a strong background in developing foundation models for generative AI and multimodal systems that integrate various types of real-time sensor data such as video and audio with other modalities like text. You will not only work on cutting-edge projects to advance our AI capabilities, but also contribute to practical features in Apple products and bring impact to millions of users. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs. A successful candidate will stay up-to-date with the latest advancements in AI, machine learning, and computer vision, applying this knowledge to drive innovation, but also take a practical approach to problem solving and software engineering to deliver clean, modular, testable code. Minimum Qualifications: BS and a minimum of 3 years relevant industry experience. Experience building models for multimodal perception system. Experience working with LLMs and VLMs. Software engineering skills and proficiency in Python and PyTorch. Curiosity", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.1c64eaaad8e7e1622b", "query_id": "gq_dad6f1e92322a0102143", "job_id": "6ed87cb566aad3c9eaa7759fd315bb50", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AIML Engineer - Human Perception Sunnyvale, United States of America The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem. We are looking for an AIML Engineer with a strong background in developing foundation models for generative AI and multimodal systems that integrate various types of real-time sensor data such as video and audio with other modalities like text. You will not only work on cutting-edge projects to advance our AI capabilities, but also contribute to practical features in Apple products and bring impact to millions of users. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs. A successful candidate will stay up-to-date with the latest advancements in AI, machine learning, and computer vision, applying this knowledge to drive innovation, but also take a practical approach to problem solving and software engineering to deliver clean, modular, testable code. Minimum Qualifications: BS and a minimum of 3 years relevant industry experience. Experience building models for multimodal perception system. Experience working with LLMs and VLMs. Software engineering skills and proficiency in Python and PyTorch. Curiosity", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:6ed87cb566aad3c9eaa7759fd315bb50:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.bd22df42a2baa961c0", "query_id": "gq_dad6f1e92322a0102143", "job_id": "6ed87cb566aad3c9eaa7759fd315bb50", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description matched \"compute\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AIML Engineer - Human Perception Sunnyvale, United States of America The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem. We are looking for an AIML Engineer with a strong background in developing foundation models for generative AI and multimodal systems that integrate various types of real-time sensor data such as video and audio with other modalities like text. You will not only work on cutting-edge projects to advance our AI capabilities, but also contribute to practical features in Apple products and bring impact to millions of users. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs. A successful candidate will stay up-to-date with the latest advancements in AI, machine learning, and computer vision, applying this knowledge to drive innovation, but also take a practical approach to problem solving and software engineering to deliver clean, modular, testable code. Minimum Qualifications: BS and a minimum of 3 years relevant industry experience. Experience building models for multimodal perception system. Experience working with LLMs and VLMs. Software engineering skills and proficiency in Python and PyTorch. Curiosity", "matched_input": "compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:6ed87cb566aad3c9eaa7759fd315bb50:description:compute", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.334fba036e9676c60c", "query_id": "gq_dad6f1e92322a0102143", "job_id": "6ed87cb566aad3c9eaa7759fd315bb50", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "AIML Engineer - Human Perception Sunnyvale, United States of America The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem. We are looking for an AIML Engineer with a strong background in developing foundation models for generative AI and multimodal systems that integrate various types of real-time sensor data such as video and audio with other modalities like text. You will not only work on cutting-edge projects to advance our AI capabilities, but also contribute to practical features in Apple products and bring impact to millions of users. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs. A successful candidate will stay up-to-date with the latest advancements in AI, machine learning, and computer vision, applying this knowledge to drive innovation, but also take a practical approach to problem solving and software engineering to deliver clean, modular, testable code. Minimum Qualifications: BS and a minimum of 3 years relevant industry experience. Experience building models for multimodal perception system. Experience working with LLMs and VLMs. Software engineering skills and proficiency in Python and PyTorch. Curiosity", "matched_input": "compute", "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.query.description_excerpt.a2622cbe7d4e51861c", "query_id": "gq_dad6f1e92322a0102143", "job_id": "6ed87cb566aad3c9eaa7759fd315bb50", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "AIML Engineer - Human Perception Sunnyvale, United States of America The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem. We are looking for an AIML Engineer with a strong background in developing foundation models for generative AI and multimodal systems that integrate various types of real-time sensor data such as video and audio with other modalities like text. You will not only work on cutting-edge projects to advance our AI capabilities, but also contribute to practical features in Apple products and bring impact to millions of users. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs. A successful candidate will stay up-to-date with the latest advancements in AI, machine learning, and computer vision, applying this knowledge to drive innovation, but also take a practical approach to problem solving and software engineering to deliver clean, modular, testable code. Minimum Qualifications: BS and a minimum of 3 years relevant industry experience. Experience building models for multimodal perception system. Experience working with LLMs and VLMs. Software engineering skills and proficiency in Python and PyTorch. Curiosity", "matched_input": "strong", "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 } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667012/aiml-engineer-human-perception?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667012/aiml-engineer-human-perception?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667012/aiml-engineer-human-perception?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667012/aiml-engineer-human-perception?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200667012/aiml-engineer-human-perception?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "7ee3af0fcdcc37dd7f406903184252ea", "title": "Senior Machine Learning Compiler Engineer", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "internship", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 168100, "salary_max": 227400, "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": 168100, "base_salary_max": 227400, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": true, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2025-08-08T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Machine Learning Compiler Engineer Seattle, Washington, USA The Product: Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the Amazon Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 56, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "surrogacy_assistance_offered": { "field": "surrogacy_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "surrogacy_assistance_offered" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.320bc1242850a317d2", "query_id": "gq_dad6f1e92322a0102143", "job_id": "7ee3af0fcdcc37dd7f406903184252ea", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Machine Learning Compiler Engineer Seattle, Washington, USA The Product: Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the Amazon Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum", "matched_input": "compute", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.d12df8c8db591153b9", "query_id": "gq_dad6f1e92322a0102143", "job_id": "7ee3af0fcdcc37dd7f406903184252ea", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "operations", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:7ee3af0fcdcc37dd7f406903184252ea:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "surrogacy_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "1c3d5462ebda371ca15f60b235c2941a", "title": "Member of Technical Staff, Performance Optimization", "employer_name": "Fireworks AI", "employer_slug": "fireworks-ai", "location_text": "San Mateo, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 175000, "salary_max": 220000, "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": 175000, "base_salary_max": 220000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "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": "2025-05-06T20:04:42.000Z", "apply_url": "https://job-boards.greenhouse.io/fireworksai/jobs/4001152009", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Member of Technical Staff, Performance Optimization San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: We're looking for a Software Engineer focused on Performance Optimization to help push the boundaries of speed and efficiency across our AI infrastructure. In this role, you'll take ownership of optimizing performance at every layer of the stack-from low-level GPU kernels to large-scale distributed systems. A key focus will be maximizing the performance of our most demanding workloads, including large language models (LLMs), vision-language models (VLMs), and next-generation video models. You'll work closely with teams across research, infrastructure, and systems to identify performance bottlenecks, implement cutting-edge optimizations, and scale our AI systems to meet the demands of real-world production use cases. Your work will directly impact the speed, scalability, and cost-effectiveness of some of the most advanced generative AI models in the world. Key Responsibilities: - Optimize system and GPU performance for high-throughput AI workloads across training and inference - Analyze and improve latency, throughput, memory", "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": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "series_c", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.f498fdf0cdfa5404a7", "query_id": "gq_dad6f1e92322a0102143", "job_id": "1c3d5462ebda371ca15f60b235c2941a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:1c3d5462ebda371ca15f60b235c2941a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/fireworksai/jobs/4001152009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/fireworksai/jobs/4001152009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/fireworksai/jobs/4001152009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/fireworksai/jobs/4001152009", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/fireworksai/jobs/4001152009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/fireworksai/jobs/4001152009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/fireworksai/jobs/4001152009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "7c5bd32779cede2a5fa2abbd421f69e9", "title": "Quantum Algorithm Engineer", "employer_name": "Sygaldry Technologies", "employer_slug": "sygaldry-technologies", "location_text": "Ann Arbor | OnSite", "country": "unknown", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "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": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/sygaldry-technologies/e548de88-2876-4cc2-b4ae-1abd48d12012", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Quantum Algorithm Engineer Ann Arbor | OnSite ABOUT THE ROLE: In this role, you will help bridge the gap between quantum algorithms and real-world quantum hardware by developing efficient, hardware-ready quantum software solutions. You'll work on implementing and optimizing quantum circuits for execution across target architectures, while building and maintaining the tools and frameworks that support circuit compilation, transpilation, and deployment. Partnering closely with research and hardware teams, you will profile and benchmark circuit performance, identify optimization opportunities, and contribute to the advancement of internal quantum software infrastructure that enables scalable and high-performance quantum computing workflows. WHAT YOU'LL WORK ON: - Implement and optimize quantum circuits for efficient execution on target hardware architectures - Develop and maintain software tools and frameworks for compiling/transpiling, and deploying quantum circuits - Profile and benchmark circuit performance, identifying bottlenecks and driving improvements - Work closely with research and hardware teams to translate algorithmic designs into hardware-ready implementations - Contribute to the development of internal quantum software infrastructure and tooling YOU MAY BE A GOOD FIT IF YOU HAVE: - An MS in physics, computer science, mathematics or a related field - Strong software engineering skills, with experience in scientific computing environments (Python, C++, or similar) - Hands-on experience with quantum circuit design and quantum software frameworks (e.g. Qiskit, PennyLane, Cirq, or equivalent) - Understanding of quantum gate sets, circuit compilation, and hardware constraints - Proven ability to deliver robust, maintainable code in a collaborative team environment - Excellent written and verbal communication", "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": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "early", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": 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.d987a75407b1038f31", "query_id": "gq_dad6f1e92322a0102143", "job_id": "7c5bd32779cede2a5fa2abbd421f69e9", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description matched \"compute\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Quantum Algorithm Engineer Ann Arbor | OnSite ABOUT THE ROLE: In this role, you will help bridge the gap between quantum algorithms and real-world quantum hardware by developing efficient, hardware-ready quantum software solutions. You'll work on implementing and optimizing quantum circuits for execution across target architectures, while building and maintaining the tools and frameworks that support circuit compilation, transpilation, and deployment. Partnering closely with research and hardware teams, you will profile and benchmark circuit performance, identify optimization opportunities, and contribute to the advancement of internal quantum software infrastructure that enables scalable and high-performance quantum computing workflows. WHAT YOU'LL WORK ON: - Implement and optimize quantum circuits for efficient execution on target hardware architectures - Develop and maintain software tools and frameworks for compiling/transpiling, and deploying quantum circuits - Profile and benchmark circuit performance, identifying bottlenecks and driving improvements - Work closely with research and hardware teams to translate algorithmic designs into hardware-ready implementations - Contribute to the development of internal quantum software infrastructure and tooling YOU MAY BE A GOOD FIT IF YOU HAVE: - An MS in physics, computer science, mathematics or a related field - Strong software engineering skills, with experience in scientific computing environments (Python, C++, or similar) - Hands-on experience with quantum circuit design and quantum software frameworks (e.g. Qiskit, PennyLane, Cirq, or equivalent) - Understanding of quantum gate sets, circuit compilation, and hardware constraints - Proven ability to deliver robust, maintainable code in a collaborative team environment - Excellent written and verbal communication", "matched_input": "compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:7c5bd32779cede2a5fa2abbd421f69e9:description:compute", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e14dc0e7b30fc41b30", "query_id": "gq_dad6f1e92322a0102143", "job_id": "7c5bd32779cede2a5fa2abbd421f69e9", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Quantum Algorithm Engineer Ann Arbor | OnSite ABOUT THE ROLE: In this role, you will help bridge the gap between quantum algorithms and real-world quantum hardware by developing efficient, hardware-ready quantum software solutions. You'll work on implementing and optimizing quantum circuits for execution across target architectures, while building and maintaining the tools and frameworks that support circuit compilation, transpilation, and deployment. Partnering closely with research and hardware teams, you will profile and benchmark circuit performance, identify optimization opportunities, and contribute to the advancement of internal quantum software infrastructure that enables scalable and high-performance quantum computing workflows. WHAT YOU'LL WORK ON: - Implement and optimize quantum circuits for efficient execution on target hardware architectures - Develop and maintain software tools and frameworks for compiling/transpiling, and deploying quantum circuits - Profile and benchmark circuit performance, identifying bottlenecks and driving improvements - Work closely with research and hardware teams to translate algorithmic designs into hardware-ready implementations - Contribute to the development of internal quantum software infrastructure and tooling YOU MAY BE A GOOD FIT IF YOU HAVE: - An MS in physics, computer science, mathematics or a related field - Strong software engineering skills, with experience in scientific computing environments (Python, C++, or similar) - Hands-on experience with quantum circuit design and quantum software frameworks (e.g. Qiskit, PennyLane, Cirq, or equivalent) - Understanding of quantum gate sets, circuit compilation, and hardware constraints - Proven ability to deliver robust, maintainable code in a collaborative team environment - Excellent written and verbal communication", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:7c5bd32779cede2a5fa2abbd421f69e9:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0ea003035e9db8752b", "query_id": "gq_dad6f1e92322a0102143", "job_id": "7c5bd32779cede2a5fa2abbd421f69e9", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Quantum Algorithm Engineer Ann Arbor | OnSite ABOUT THE ROLE: In this role, you will help bridge the gap between quantum algorithms and real-world quantum hardware by developing efficient, hardware-ready quantum software solutions. You'll work on implementing and optimizing quantum circuits for execution across target architectures, while building and maintaining the tools and frameworks that support circuit compilation, transpilation, and deployment. Partnering closely with research and hardware teams, you will profile and benchmark circuit performance, identify optimization opportunities, and contribute to the advancement of internal quantum software infrastructure that enables scalable and high-performance quantum computing workflows. WHAT YOU'LL WORK ON: - Implement and optimize quantum circuits for efficient execution on target hardware architectures - Develop and maintain software tools and frameworks for compiling/transpiling, and deploying quantum circuits - Profile and benchmark circuit performance, identifying bottlenecks and driving improvements - Work closely with research and hardware teams to translate algorithmic designs into hardware-ready implementations - Contribute to the development of internal quantum software infrastructure and tooling YOU MAY BE A GOOD FIT IF YOU HAVE: - An MS in physics, computer science, mathematics or a related field - Strong software engineering skills, with experience in scientific computing environments (Python, C++, or similar) - Hands-on experience with quantum circuit design and quantum software frameworks (e.g. Qiskit, PennyLane, Cirq, or equivalent) - Understanding of quantum gate sets, circuit compilation, and hardware constraints - Proven ability to deliver robust, maintainable code in a collaborative team environment - Excellent written and verbal communication", "matched_input": "compute", "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.query.description_excerpt.85d69cd4c9bcdb961b", "query_id": "gq_dad6f1e92322a0102143", "job_id": "7c5bd32779cede2a5fa2abbd421f69e9", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Quantum Algorithm Engineer Ann Arbor | OnSite ABOUT THE ROLE: In this role, you will help bridge the gap between quantum algorithms and real-world quantum hardware by developing efficient, hardware-ready quantum software solutions. You'll work on implementing and optimizing quantum circuits for execution across target architectures, while building and maintaining the tools and frameworks that support circuit compilation, transpilation, and deployment. Partnering closely with research and hardware teams, you will profile and benchmark circuit performance, identify optimization opportunities, and contribute to the advancement of internal quantum software infrastructure that enables scalable and high-performance quantum computing workflows. WHAT YOU'LL WORK ON: - Implement and optimize quantum circuits for efficient execution on target hardware architectures - Develop and maintain software tools and frameworks for compiling/transpiling, and deploying quantum circuits - Profile and benchmark circuit performance, identifying bottlenecks and driving improvements - Work closely with research and hardware teams to translate algorithmic designs into hardware-ready implementations - Contribute to the development of internal quantum software infrastructure and tooling YOU MAY BE A GOOD FIT IF YOU HAVE: - An MS in physics, computer science, mathematics or a related field - Strong software engineering skills, with experience in scientific computing environments (Python, C++, or similar) - Hands-on experience with quantum circuit design and quantum software frameworks (e.g. Qiskit, PennyLane, Cirq, or equivalent) - Understanding of quantum gate sets, circuit compilation, and hardware constraints - Proven ability to deliver robust, maintainable code in a collaborative team environment - Excellent written and verbal communication", "matched_input": "strong", "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 } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/sygaldry-technologies/e548de88-2876-4cc2-b4ae-1abd48d12012", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/sygaldry-technologies/e548de88-2876-4cc2-b4ae-1abd48d12012", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/sygaldry-technologies/e548de88-2876-4cc2-b4ae-1abd48d12012", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/sygaldry-technologies/e548de88-2876-4cc2-b4ae-1abd48d12012", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "77deb35fe310e0a03990d2796cd38754", "title": "On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning", "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": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-17T21:27:44.805Z", "apply_url": "https://jobs.apple.com/en-us/details/200658596/on-device-ml-infrastructure-engineer-coreml-runtime-graphics-games-and-machine-learning?team=MLAI", "apply_url_verified": false, "ats": "apple_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for on-device machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models on resource-constrained devices and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents an incredible opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking an ML Infrastructure Engineer with a specific focus on graph compilers and runtimes. If you are a highly motivated software engineer who is creative, versatile, and passionate about machine learning operator primitives, common compiler optimizations, runtimes, and system software engineering in the fast-paced and dynamic", "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, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.0faff086462fa287ef", "query_id": "gq_dad6f1e92322a0102143", "job_id": "77deb35fe310e0a03990d2796cd38754", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:77deb35fe310e0a03990d2796cd38754:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200658596/on-device-ml-infrastructure-engineer-coreml-runtime-graphics-games-and-machine-learning?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200658596/on-device-ml-infrastructure-engineer-coreml-runtime-graphics-games-and-machine-learning?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200658596/on-device-ml-infrastructure-engineer-coreml-runtime-graphics-games-and-machine-learning?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200658596/on-device-ml-infrastructure-engineer-coreml-runtime-graphics-games-and-machine-learning?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200658596/on-device-ml-infrastructure-engineer-coreml-runtime-graphics-games-and-machine-learning?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.apple.com/en-us/details/200658596/on-device-ml-infrastructure-engineer-coreml-runtime-graphics-games-and-machine-learning?team=MLAI", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "81bf0d3fcbeccff9ecaff6828721c2be", "title": "Senior Tax Analyst , India Direct Tax Reporting and Compliance", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bengaluru, Karnataka, IND", "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": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-04-27T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Tax Analyst , India Direct Tax Reporting and Compliance Bengaluru, Karnataka, IND External Job Description Overview: Amazon is seeking a Senior Tax Analyst to focus on India income tax reporting and compliance. This position will be primarily focused on preparing and reviewing local country tax reporting (India direct tax returns & tax accounting) as well as the international aspects of the US GAAP worldwide income tax provision. In addition, the role includes supporting in tax assessment and litigation. * Technically strong - good working knowledge of Indian direct tax laws with special focus on WHT laws and related compliance. * Role involves review of tax returns and related filings and should be well-versed with associated compliance requirements. * Candidate is expected to support the team in assessment and litigation. Should be keen to manage numerous tax notices/ collate information from various stakeholders within and outside tax team etc. * The role would involve dealing with novel tax issues associated with e-commerce industry, data centers etc. Should be able to monitor changes tax legislation and proactively assess its impact on the Company. * The scope also includes (not limited to): * Prepare and / or review quarterly advance tax computation for various entities and ensuring timely payment of Tax; * Prepare and / or review annual tax computations to support IN GAAP statutory filings for India based entities; * Prepare and / or review monthly/ quarterly tax computations to support US GAAP provision for India based entities and support Amazon's", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 9, "role_function": "finance", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8eb51aaf82d04f72ae", "query_id": "gq_dad6f1e92322a0102143", "job_id": "81bf0d3fcbeccff9ecaff6828721c2be", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Tax Analyst , India Direct Tax Reporting and Compliance Bengaluru, Karnataka, IND External Job Description Overview: Amazon is seeking a Senior Tax Analyst to focus on India income tax reporting and compliance. This position will be primarily focused on preparing and reviewing local country tax reporting (India direct tax returns & tax accounting) as well as the international aspects of the US GAAP worldwide income tax provision. In addition, the role includes supporting in tax assessment and litigation. * Technically strong - good working knowledge of Indian direct tax laws with special focus on WHT laws and related compliance. * Role involves review of tax returns and related filings and should be well-versed with associated compliance requirements. * Candidate is expected to support the team in assessment and litigation. Should be keen to manage numerous tax notices/ collate information from various stakeholders within and outside tax team etc. * The role would involve dealing with novel tax issues associated with e-commerce industry, data centers etc. Should be able to monitor changes tax legislation and proactively assess its impact on the Company. * The scope also includes (not limited to): * Prepare and / or review quarterly advance tax computation for various entities and ensuring timely payment of Tax; * Prepare and / or review annual tax computations to support IN GAAP statutory filings for India based entities; * Prepare and / or review monthly/ quarterly tax computations to support US GAAP provision for India based entities and support Amazon's", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:81bf0d3fcbeccff9ecaff6828721c2be:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f39ebba0527a398bbb", "query_id": "gq_dad6f1e92322a0102143", "job_id": "81bf0d3fcbeccff9ecaff6828721c2be", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Tax Analyst , India Direct Tax Reporting and Compliance Bengaluru, Karnataka, IND External Job Description Overview: Amazon is seeking a Senior Tax Analyst to focus on India income tax reporting and compliance. This position will be primarily focused on preparing and reviewing local country tax reporting (India direct tax returns & tax accounting) as well as the international aspects of the US GAAP worldwide income tax provision. In addition, the role includes supporting in tax assessment and litigation. * Technically strong - good working knowledge of Indian direct tax laws with special focus on WHT laws and related compliance. * Role involves review of tax returns and related filings and should be well-versed with associated compliance requirements. * Candidate is expected to support the team in assessment and litigation. Should be keen to manage numerous tax notices/ collate information from various stakeholders within and outside tax team etc. * The role would involve dealing with novel tax issues associated with e-commerce industry, data centers etc. Should be able to monitor changes tax legislation and proactively assess its impact on the Company. * The scope also includes (not limited to): * Prepare and / or review quarterly advance tax computation for various entities and ensuring timely payment of Tax; * Prepare and / or review annual tax computations to support IN GAAP statutory filings for India based entities; * Prepare and / or review monthly/ quarterly tax computations to support US GAAP provision for India based entities and support Amazon's", "matched_input": "strong", "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 } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10403800/senior-tax-analyst-india-direct-tax-reporting-and-compliance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "727672df32b32b1bd12f959bcb7b8a44", "title": "AI Training - Machine Learning Specialist (PST)", "employer_name": "Prolific", "employer_slug": "prolific", "location_text": "Remote", "country": "unknown", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": 150, "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": "hour", "base_salary_min": null, "base_salary_max": 150, "salary_disclosed": true, "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": [ "yc" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/prolific/jobs/4749770101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Training - Machine Learning Specialist (PST) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" data-turn-id=\"7d8c6042-ac58-4acb-b90b-d08242002c4b\" data-testid=\"conversation-turn-6\" data-scroll-anchor=\"true\" data-turn=\"assistant\"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" data-turn-id=\"788a8b78-cfcd-42e1-beb1-30da5949a95d\" data-testid=\"conversation-turn-8\" data-scroll-anchor=\"true\" data-turn=\"assistant\"> AI Trainer - Machine Learning Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection 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": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "assessment_required": { "field": "assessment_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "assessment_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": 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.ba9c69582c1493a8b0", "query_id": "gq_dad6f1e92322a0102143", "job_id": "727672df32b32b1bd12f959bcb7b8a44", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "AI Training - Machine Learning Specialist (PST) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" data-turn-id=\"7d8c6042-ac58-4acb-b90b-d08242002c4b\" data-testid=\"conversation-turn-6\" data-scroll-anchor=\"true\" data-turn=\"assistant\"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" data-turn-id=\"788a8b78-cfcd-42e1-beb1-30da5949a95d\" data-testid=\"conversation-turn-8\" data-scroll-anchor=\"true\" data-turn=\"assistant\"> AI Trainer - Machine Learning Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and", "matched_input": "strong", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.7f1e7378e0fceca733", "query_id": "gq_dad6f1e92322a0102143", "job_id": "727672df32b32b1bd12f959bcb7b8a44", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:727672df32b32b1bd12f959bcb7b8a44:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/prolific/jobs/4749770101", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/prolific/jobs/4749770101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/prolific/jobs/4749770101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/prolific/jobs/4749770101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.eu.greenhouse.io/prolific/jobs/4749770101", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "8274200199a45638b3077e62ea30c607", "title": "Applied ML Scientist (Staff / Principal)", "employer_name": "Genesis Molecular AI", "employer_slug": "genesis-molecular-ai", "location_text": "San Mateo, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "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": [ "a16z" ], "posted_at": "2026-05-19T22:29:28.314Z", "apply_url": "https://jobs.ashbyhq.com/genesis-molecular-ai/b239a6b5-40f2-41fd-93e6-3b7ca2c7eac7", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied ML Scientist (Staff / Principal) San Mateo, CA About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations. About the Role This unique role is for a scientist who is passionate about being a catalyst for applying cutting-edge AI to solve real-world drug discovery challenges. You will be the critical bridge between our long-term research and our experimental drug discovery programs. Your mission is to build, evaluate, monitor, and improve our state-of-the-art models directly into active drug programs, leading the charge on model validation, deployment, and analysis to guide the discovery of new medicines. You will act as both a translator and a strategist, ensuring our research is aimed at the most critical challenges and that our drug hunters can leverage the full power of our industry-leading AI platform. This role requires a deep understanding of cheminformatics, computational chemistry, and experimental techniques, strong data science", "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": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": 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.query.description_excerpt.a069b06fe88a80f1c3", "query_id": "gq_dad6f1e92322a0102143", "job_id": "8274200199a45638b3077e62ea30c607", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Applied ML Scientist (Staff / Principal) San Mateo, CA About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations. About the Role This unique role is for a scientist who is passionate about being a catalyst for applying cutting-edge AI to solve real-world drug discovery challenges. You will be the critical bridge between our long-term research and our experimental drug discovery programs. Your mission is to build, evaluate, monitor, and improve our state-of-the-art models directly into active drug programs, leading the charge on model validation, deployment, and analysis to guide the discovery of new medicines. You will act as both a translator and a strategist, ensuring our research is aimed at the most critical challenges and that our drug hunters can leverage the full power of our industry-leading AI platform. This role requires a deep understanding of cheminformatics, computational chemistry, and experimental techniques, strong data science", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:8274200199a45638b3077e62ea30c607:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.fa8139bf855d7a60bd", "query_id": "gq_dad6f1e92322a0102143", "job_id": "8274200199a45638b3077e62ea30c607", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description matched \"compute\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Applied ML Scientist (Staff / Principal) San Mateo, CA About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations. About the Role This unique role is for a scientist who is passionate about being a catalyst for applying cutting-edge AI to solve real-world drug discovery challenges. You will be the critical bridge between our long-term research and our experimental drug discovery programs. Your mission is to build, evaluate, monitor, and improve our state-of-the-art models directly into active drug programs, leading the charge on model validation, deployment, and analysis to guide the discovery of new medicines. You will act as both a translator and a strategist, ensuring our research is aimed at the most critical challenges and that our drug hunters can leverage the full power of our industry-leading AI platform. This role requires a deep understanding of cheminformatics, computational chemistry, and experimental techniques, strong data science", "matched_input": "compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:8274200199a45638b3077e62ea30c607:description:compute", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2402b22d3026707592", "query_id": "gq_dad6f1e92322a0102143", "job_id": "8274200199a45638b3077e62ea30c607", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Applied ML Scientist (Staff / Principal) San Mateo, CA About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations. About the Role This unique role is for a scientist who is passionate about being a catalyst for applying cutting-edge AI to solve real-world drug discovery challenges. You will be the critical bridge between our long-term research and our experimental drug discovery programs. Your mission is to build, evaluate, monitor, and improve our state-of-the-art models directly into active drug programs, leading the charge on model validation, deployment, and analysis to guide the discovery of new medicines. You will act as both a translator and a strategist, ensuring our research is aimed at the most critical challenges and that our drug hunters can leverage the full power of our industry-leading AI platform. This role requires a deep understanding of cheminformatics, computational chemistry, and experimental techniques, strong data science", "matched_input": "compute", "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.query.description_excerpt.3b8969b181d1eb78bb", "query_id": "gq_dad6f1e92322a0102143", "job_id": "8274200199a45638b3077e62ea30c607", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Applied ML Scientist (Staff / Principal) San Mateo, CA About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations. About the Role This unique role is for a scientist who is passionate about being a catalyst for applying cutting-edge AI to solve real-world drug discovery challenges. You will be the critical bridge between our long-term research and our experimental drug discovery programs. Your mission is to build, evaluate, monitor, and improve our state-of-the-art models directly into active drug programs, leading the charge on model validation, deployment, and analysis to guide the discovery of new medicines. You will act as both a translator and a strategist, ensuring our research is aimed at the most critical challenges and that our drug hunters can leverage the full power of our industry-leading AI platform. This role requires a deep understanding of cheminformatics, computational chemistry, and experimental techniques, strong data science", "matched_input": "strong", "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 } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/genesis-molecular-ai/b239a6b5-40f2-41fd-93e6-3b7ca2c7eac7", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/genesis-molecular-ai/b239a6b5-40f2-41fd-93e6-3b7ca2c7eac7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/genesis-molecular-ai/b239a6b5-40f2-41fd-93e6-3b7ca2c7eac7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/genesis-molecular-ai/b239a6b5-40f2-41fd-93e6-3b7ca2c7eac7", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "8767367adb5f1acd9ba2daddfd4e141c", "title": "Scientist II, Cheminformatics", "employer_name": "Relay Therapeutics Inc", "employer_slug": "relay-therapeutics", "location_text": "Cambridge, MA", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "timezone_overlap_hours": 6, "salary_min": 88000, "salary_max": 126000, "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": 88000, "base_salary_max": 126000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-04T18:03:09.000Z", "apply_url": "https://job-boards.greenhouse.io/relaytherapeutics/jobs/5985732004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Scientist II, Cheminformatics Cambridge, MA The Opportunity: Relay Therapeutics is seeking a highly motivated Scientist to join our Drug Discovery team in a unique hybrid role that integrates synthetic chemistry with cheminformatics. This position is ideal for a scientist who enjoys working at the interface of experimental and computational disciplines and is excited to help shape how data-driven chemistry is done in a modern biotech environment. Your Role: - Maintain and support tools used in compound registration, lab operations and data ingestion from assays, as well as broader data and software access workflows - Design and execute synthetic chemistry workflows, with a focus on high-throughput or parallel synthesis to support medicinal chemistry programs - Contribute to the design, enumeration, and prioritization of compound libraries using cheminformatics tools - Collaborate closely with computational chemists, data scientists, and medicinal chemists to guide compound design using data-driven insights - Analyze and interpret experimental data to inform structure-activity relationships (SAR) and compound optimization - Help develop and refine internal workflows that integrate synthetic chemistry with computational approaches - Maintain clear documentation and communicate results effectively across multidisciplinary teams Your Background: - Ph.D. or M.S. in Organic Chemistry or a related field, with 2-5 years of relevant industry experience preferred - Demonstrated experience in synthetic organic chemistry - Familiarity with cheminformatics tools and concepts (e.g., molecular representations, library design, property prediction) - Experience with scripting or data analysis tools (e.g., Python, RDKit) - Strong problem-solving skills and the ability to work both independently and collaboratively", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1812364/000119312526076739/rlay-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1812364/000119312526076739/rlay-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "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.query.description_excerpt.3e9029848cd1e9ded9", "query_id": "gq_dad6f1e92322a0102143", "job_id": "8767367adb5f1acd9ba2daddfd4e141c", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Scientist II, Cheminformatics Cambridge, MA The Opportunity: Relay Therapeutics is seeking a highly motivated Scientist to join our Drug Discovery team in a unique hybrid role that integrates synthetic chemistry with cheminformatics. This position is ideal for a scientist who enjoys working at the interface of experimental and computational disciplines and is excited to help shape how data-driven chemistry is done in a modern biotech environment. Your Role: - Maintain and support tools used in compound registration, lab operations and data ingestion from assays, as well as broader data and software access workflows - Design and execute synthetic chemistry workflows, with a focus on high-throughput or parallel synthesis to support medicinal chemistry programs - Contribute to the design, enumeration, and prioritization of compound libraries using cheminformatics tools - Collaborate closely with computational chemists, data scientists, and medicinal chemists to guide compound design using data-driven insights - Analyze and interpret experimental data to inform structure-activity relationships (SAR) and compound optimization - Help develop and refine internal workflows that integrate synthetic chemistry with computational approaches - Maintain clear documentation and communicate results effectively across multidisciplinary teams Your Background: - Ph.D. or M.S. in Organic Chemistry or a related field, with 2-5 years of relevant industry experience preferred - Demonstrated experience in synthetic organic chemistry - Familiarity with cheminformatics tools and concepts (e.g., molecular representations, library design, property prediction) - Experience with scripting or data analysis tools (e.g., Python, RDKit) - Strong problem-solving skills and the ability to work both independently and collaboratively", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:8767367adb5f1acd9ba2daddfd4e141c:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.584050072437cfbb19", "query_id": "gq_dad6f1e92322a0102143", "job_id": "8767367adb5f1acd9ba2daddfd4e141c", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Scientist II, Cheminformatics Cambridge, MA The Opportunity: Relay Therapeutics is seeking a highly motivated Scientist to join our Drug Discovery team in a unique hybrid role that integrates synthetic chemistry with cheminformatics. This position is ideal for a scientist who enjoys working at the interface of experimental and computational disciplines and is excited to help shape how data-driven chemistry is done in a modern biotech environment. Your Role: - Maintain and support tools used in compound registration, lab operations and data ingestion from assays, as well as broader data and software access workflows - Design and execute synthetic chemistry workflows, with a focus on high-throughput or parallel synthesis to support medicinal chemistry programs - Contribute to the design, enumeration, and prioritization of compound libraries using cheminformatics tools - Collaborate closely with computational chemists, data scientists, and medicinal chemists to guide compound design using data-driven insights - Analyze and interpret experimental data to inform structure-activity relationships (SAR) and compound optimization - Help develop and refine internal workflows that integrate synthetic chemistry with computational approaches - Maintain clear documentation and communicate results effectively across multidisciplinary teams Your Background: - Ph.D. or M.S. in Organic Chemistry or a related field, with 2-5 years of relevant industry experience preferred - Demonstrated experience in synthetic organic chemistry - Familiarity with cheminformatics tools and concepts (e.g., molecular representations, library design, property prediction) - Experience with scripting or data analysis tools (e.g., Python, RDKit) - Strong problem-solving skills and the ability to work both independently and collaboratively", "matched_input": "strong", "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 } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/relaytherapeutics/jobs/5985732004", "source_values": [ "rule:remote_status" ], "checked_at": null }, "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/relaytherapeutics/jobs/5985732004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/relaytherapeutics/jobs/5985732004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/relaytherapeutics/jobs/5985732004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1812364/000119312526076739/rlay-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1812364/000119312526076739/rlay-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/relaytherapeutics/jobs/5985732004", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://job-boards.greenhouse.io/relaytherapeutics/jobs/5985732004", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "b43b83d638c1ce9f4e621c88fab0941a", "title": "Fullstack Engineer (Member of Technical Staff)", "employer_name": "Cogent Communications Holdings INC", "employer_slug": "cogent-communications-holdings", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 100000, "salary_max": 300000, "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": 100000, "base_salary_max": 300000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2024-11-12T18:13:21.684Z", "apply_url": "https://jobs.ashbyhq.com/cogent-security/962e2482-e91a-44fd-b327-6598d02fb130", "apply_url_verified": true, "ats": "ashby", "url_last_checked_alive": "2026-08-24T03:03:10.779Z", "removed_at": null, "description_excerpt": "Fullstack Engineer (Member of Technical Staff) San Francisco, CA About Cogent Security Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's \"AI Taskforce\" assesses petabytes of enterprise data to remediate these issues before critical breaches occur. To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality. Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world. We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from: Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase World class cybersecurity experts from Wiz, Abnormal AI, Zscaler Preeminent research labs like Deepmind and SAIL About the Role Cogent is building the world's first AI cyber taskforce, which is composed of AI agents capable of human-caliber reasoning for cybersecurity tasks. We are looking for talented, ambitious Senior and Staff Engineers who are excited to build in the Applied AI space. What You'll Do & Achieve Own the product. You're a technical founder type who is willing to deep dive", "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": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1158324/000110465926017968/ccoi-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1158324/000110465926017968/ccoi-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "early", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Media", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.ec134f7d395295e3b4", "query_id": "gq_dad6f1e92322a0102143", "job_id": "b43b83d638c1ce9f4e621c88fab0941a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:b43b83d638c1ce9f4e621c88fab0941a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.14ab1004d8e4048c0f", "query_id": "gq_dad6f1e92322a0102143", "job_id": "b43b83d638c1ce9f4e621c88fab0941a", "signal_type": "trust_signal", "display_text": "Apply link reachable when checked", "tooltip": "The apply URL was reachable during the last recorded crawl-time liveness check; this is not a live guarantee.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "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": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://jobs.ashbyhq.com/cogent-security/962e2482-e91a-44fd-b327-6598d02fb130", "source_label": "Apply link", "source_date": "2026-08-24T03:03:10.779Z" } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": "2026-08-24T03:03:10.779Z", "apply_url_verification_status": "reachable_when_last_checked", "apply_url_verification_label": "Reachable when checked at 2026-08-24T03:03:10.779Z", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cogent-security/962e2482-e91a-44fd-b327-6598d02fb130", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cogent-security/962e2482-e91a-44fd-b327-6598d02fb130", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cogent-security/962e2482-e91a-44fd-b327-6598d02fb130", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1158324/000110465926017968/ccoi-20251231x10k.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1158324/000110465926017968/ccoi-20251231x10k.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cogent-security/962e2482-e91a-44fd-b327-6598d02fb130", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cogent-security/962e2482-e91a-44fd-b327-6598d02fb130", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/cogent-security/962e2482-e91a-44fd-b327-6598d02fb130", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "ef22418d5f2776adc1b3fbdedd78460d", "title": "Software Engineer, Compute", "employer_name": "Persona", "employer_slug": "persona", "location_text": "San Francisco, California, United States, Remote", "country": "US", "employment_type": "internship", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": 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": 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": true, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": true, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn", "foundersfund" ], "posted_at": "2026-05-26T19:17:35.705Z", "apply_url": "https://jobs.ashbyhq.com/persona/25defcf7-530d-4cca-8faa-498e517401e6", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Compute San Francisco, California, United States, Remote About Persona Persona is the configurable identity platform built for businesses in a digital-first world. Verifying individuals and organizations is harder - but more important - than ever, with AI enabling fraudsters to launch sophisticated accounts at scale and regulations evolving rapidly. We've built Persona to support practically every use case and industry - that's why we're able to serve a wide range of leading companies. For example, Reddit relies on Persona for age assurance and verification to comply with online safety regulations, protecting younger users while maintaining a seamless experience. Meanwhile, OpenAI relies on Persona to keep bad actors out, protecting one of the world's most powerful AI platforms from large-scale abuse in a time when AI is reshaping the way we work and live. We're growing rapidly and looking for exceptional people to join us! About the role The Compute team's mission: any engineer, using AI, should be able to stand up and operate a stateful service at production scale with no meaningful infrastructure knowledge required. We build the tiering zones, guardrails, and AI skills that make this possible. Reliable, observable, and self-service by design. This is a software engineering role. You'll spend real time writing code: platform APIs, internal tooling, deployment pipelines, automation that replaces the support tickets. Infrastructure fluency matters; infrastructure specialization is not the lead. What matters most is product instinct: understanding your users (product engineers), measuring whether they're getting unblocked, and treating developer experience as", "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": true, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "unlimited_pto": { "field": "unlimited_pto", "source": "llm:greenfield:inv_371_postfix", "db_column": "unlimited_pto" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "learning_budget_offered": { "field": "learning_budget_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "learning_budget_offered" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "w2", "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.title.fab4341f1fac90e98b", "query_id": "gq_dad6f1e92322a0102143", "job_id": "ef22418d5f2776adc1b3fbdedd78460d", "signal_type": "query_match", "display_text": "Title: \"compute\"", "tooltip": "Title contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Software Engineer, Compute", "matched_input": "compute", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.fdfe812526add6d19c", "query_id": "gq_dad6f1e92322a0102143", "job_id": "ef22418d5f2776adc1b3fbdedd78460d", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:ef22418d5f2776adc1b3fbdedd78460d:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/persona/25defcf7-530d-4cca-8faa-498e517401e6", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": "2026-06-20T05:42:05.724Z" }, "unlimited_pto": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/persona/25defcf7-530d-4cca-8faa-498e517401e6", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/persona/25defcf7-530d-4cca-8faa-498e517401e6", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/persona/25defcf7-530d-4cca-8faa-498e517401e6", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/persona/25defcf7-530d-4cca-8faa-498e517401e6", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/persona/25defcf7-530d-4cca-8faa-498e517401e6", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "learning_budget_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.ashbyhq.com/persona/25defcf7-530d-4cca-8faa-498e517401e6", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "9d77bdc3677a17119e53673667215b3a", "title": "Senior Financial Analyst, AWS Infrastructure Finance", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Seattle, Washington, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 82700, "salary_max": 117100, "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": 82700, "base_salary_max": 117100, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": true, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-05T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Financial Analyst, AWS Infrastructure Finance Seattle, Washington, USA Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services - now widely known as cloud computing - based on Amazon's own back-end technology platform. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too! We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, safety, security, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers. Key job responsibilities As a member of this team, you will work with Regional AWS (Business and Finance)", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 56, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "surrogacy_assistance_offered": { "field": "surrogacy_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "surrogacy_assistance_offered" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 9, "role_function": "finance", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f135a95df6329d42c6", "query_id": "gq_dad6f1e92322a0102143", "job_id": "9d77bdc3677a17119e53673667215b3a", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Financial Analyst, AWS Infrastructure Finance Seattle, Washington, USA Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services - now widely known as cloud computing - based on Amazon's own back-end technology platform. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too! We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, safety, security, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers. Key job responsibilities As a member of this team, you will work with Regional AWS (Business and Finance)", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:9d77bdc3677a17119e53673667215b3a:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b0006f1720813395af", "query_id": "gq_dad6f1e92322a0102143", "job_id": "9d77bdc3677a17119e53673667215b3a", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Financial Analyst, AWS Infrastructure Finance Seattle, Washington, USA Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services - now widely known as cloud computing - based on Amazon's own back-end technology platform. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too! We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, safety, security, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers. Key job responsibilities As a member of this team, you will work with Regional AWS (Business and Finance)", "matched_input": "strong", "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 } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "surrogacy_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10441457/senior-financial-analyst-aws-infrastructure-finance", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "288b43fed90c20635e2d2e5139f273d0", "title": "Postdoctoral Data Analytics Computational Sciences", "employer_name": "Johnson & Johnson", "employer_slug": "johnson-johnson", "location_text": "Spring House, Pennsylvania, 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": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T00:00:00.000Z", "apply_url": "https://jj.wd5.myworkdayjobs.com/JJ/job/Spring-House-Pennsylvania-United-States-of-America/Postdoctoral-Data-Analytics-Computational-Sciences_R-063632-2", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Postdoctoral Data Analytics Computational Sciences Spring House, Pennsylvania, United States of America posted: Posted Yesterday", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/200406/000020040626000016/jnj-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/200406/000020040626000016/jnj-20251228.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.d46a2070e606b9e0f5", "query_id": "gq_dad6f1e92322a0102143", "job_id": "288b43fed90c20635e2d2e5139f273d0", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:288b43fed90c20635e2d2e5139f273d0:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/200406/000020040626000016/jnj-20251228.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/200406/000020040626000016/jnj-20251228.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jj.wd5.myworkdayjobs.com/JJ/job/Spring-House-Pennsylvania-United-States-of-America/Postdoctoral-Data-Analytics-Computational-Sciences_R-063632-2", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jj.wd5.myworkdayjobs.com/JJ/job/Spring-House-Pennsylvania-United-States-of-America/Postdoctoral-Data-Analytics-Computational-Sciences_R-063632-2", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "2dd5dbe566889ab9c0933b753c839a31", "title": "ASIC Design Verification Engineer, TPU Compute", "employer_name": "Google", "employer_slug": "google", "location_text": "Sunnyvale, CA, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 138000, "salary_max": 198000, "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": 138000, "base_salary_max": 198000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-05T16:09:56.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckd0hQGM-PnlJbTOk2gz89OI3PwXePpG-Iy8PLG892zNuEjoACxwdTPqOW1PFC7piUxP-1qsQwry1VuXWHBDSRjwRNXV41EaeEcMUrcYkQ8FupSt7JQtuBXcbFpEO_V2&loc=US&title=ASIC+Design+Verification+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "ASIC Design Verification Engineer, TPU Compute Sunnyvale, CA, USA In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As an ASIC Design Verification Engineer, you will be part of a team developing cutting-edge ASICs used to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design verification and silicon bring-up. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 94, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1652044/000165204426000018/goog-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1652044/000165204426000018/goog-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "db_column": "parental_leave_weeks", "source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 4, "years_experience_max": 8, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.a5a649fa83c39a685f", "query_id": "gq_dad6f1e92322a0102143", "job_id": "2dd5dbe566889ab9c0933b753c839a31", "signal_type": "query_match", "display_text": "Title: \"compute\"", "tooltip": "Title contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "ASIC Design Verification Engineer, TPU Compute", "matched_input": "compute", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.d41b4abfcb4dbcfe57", "query_id": "gq_dad6f1e92322a0102143", "job_id": "2dd5dbe566889ab9c0933b753c839a31", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:2dd5dbe566889ab9c0933b753c839a31:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckd0hQGM-PnlJbTOk2gz89OI3PwXePpG-Iy8PLG892zNuEjoACxwdTPqOW1PFC7piUxP-1qsQwry1VuXWHBDSRjwRNXV41EaeEcMUrcYkQ8FupSt7JQtuBXcbFpEO_V2&loc=US&title=ASIC+Design+Verification+Engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckd0hQGM-PnlJbTOk2gz89OI3PwXePpG-Iy8PLG892zNuEjoACxwdTPqOW1PFC7piUxP-1qsQwry1VuXWHBDSRjwRNXV41EaeEcMUrcYkQ8FupSt7JQtuBXcbFpEO_V2&loc=US&title=ASIC+Design+Verification+Engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckd0hQGM-PnlJbTOk2gz89OI3PwXePpG-Iy8PLG892zNuEjoACxwdTPqOW1PFC7piUxP-1qsQwry1VuXWHBDSRjwRNXV41EaeEcMUrcYkQ8FupSt7JQtuBXcbFpEO_V2&loc=US&title=ASIC+Design+Verification+Engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1652044/000165204426000018/goog-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1652044/000165204426000018/goog-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckd0hQGM-PnlJbTOk2gz89OI3PwXePpG-Iy8PLG892zNuEjoACxwdTPqOW1PFC7piUxP-1qsQwry1VuXWHBDSRjwRNXV41EaeEcMUrcYkQ8FupSt7JQtuBXcbFpEO_V2&loc=US&title=ASIC+Design+Verification+Engineer", "source_values": [ "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckd0hQGM-PnlJbTOk2gz89OI3PwXePpG-Iy8PLG892zNuEjoACxwdTPqOW1PFC7piUxP-1qsQwry1VuXWHBDSRjwRNXV41EaeEcMUrcYkQ8FupSt7JQtuBXcbFpEO_V2&loc=US&title=ASIC+Design+Verification+Engineer", "source_values": [ "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckd0hQGM-PnlJbTOk2gz89OI3PwXePpG-Iy8PLG892zNuEjoACxwdTPqOW1PFC7piUxP-1qsQwry1VuXWHBDSRjwRNXV41EaeEcMUrcYkQ8FupSt7JQtuBXcbFpEO_V2&loc=US&title=ASIC+Design+Verification+Engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckd0hQGM-PnlJbTOk2gz89OI3PwXePpG-Iy8PLG892zNuEjoACxwdTPqOW1PFC7piUxP-1qsQwry1VuXWHBDSRjwRNXV41EaeEcMUrcYkQ8FupSt7JQtuBXcbFpEO_V2&loc=US&title=ASIC+Design+Verification+Engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "a13fc023b3c8523b1c09fb73867f6e40", "title": "Bioinformatics Scientist", "employer_name": "MyOme", "employer_slug": "myome", "location_text": "Menlo Park, California, United States", "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": 120000, "salary_max": 150000, "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": 120000, "base_salary_max": 150000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "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": "2026-05-25T23:52:03.000Z", "apply_url": "https://myome.com/about-us/careers?gh_jid=4258030009", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Bioinformatics Scientist Menlo Park, California, United States MyOme's mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors. Position Overview: MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist. What You'll Do: - Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data - Identify and develop tools for NGS data analysis - Develop and test algorithms for incorporation into a production pipeline - Design and implement quality control processes - Help design and conduct clinical validation study plans and reports - Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards What You'll Ne ed: - Master's degree (PhD preferred) in computational biology, computer science or a related field - 3+ years experience in industry analyzing NGS data - Coding fluency such as Python or R", "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": true, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "unlimited_pto": { "field": "unlimited_pto", "source": "llm:greenfield:inv_371_postfix", "db_column": "unlimited_pto" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "early", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "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.query.description_excerpt.d7ed219d0fae4015da", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a13fc023b3c8523b1c09fb73867f6e40", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description matched \"compute\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Bioinformatics Scientist Menlo Park, California, United States MyOme's mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors. Position Overview: MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist. What You'll Do: - Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data - Identify and develop tools for NGS data analysis - Develop and test algorithms for incorporation into a production pipeline - Design and implement quality control processes - Help design and conduct clinical validation study plans and reports - Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards What You'll Ne ed: - Master's degree (PhD preferred) in computational biology, computer science or a related field - 3+ years experience in industry analyzing NGS data - Coding fluency such as Python or R", "matched_input": "compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:a13fc023b3c8523b1c09fb73867f6e40:description:compute", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.dc4193c21d82f983ed", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a13fc023b3c8523b1c09fb73867f6e40", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Bioinformatics Scientist Menlo Park, California, United States MyOme's mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors. Position Overview: MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist. What You'll Do: - Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data - Identify and develop tools for NGS data analysis - Develop and test algorithms for incorporation into a production pipeline - Design and implement quality control processes - Help design and conduct clinical validation study plans and reports - Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards What You'll Ne ed: - Master's degree (PhD preferred) in computational biology, computer science or a related field - 3+ years experience in industry analyzing NGS data - Coding fluency such as Python or R", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:a13fc023b3c8523b1c09fb73867f6e40:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3bf62b065580f98f3c", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a13fc023b3c8523b1c09fb73867f6e40", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Bioinformatics Scientist Menlo Park, California, United States MyOme's mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors. Position Overview: MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist. What You'll Do: - Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data - Identify and develop tools for NGS data analysis - Develop and test algorithms for incorporation into a production pipeline - Design and implement quality control processes - Help design and conduct clinical validation study plans and reports - Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards What You'll Ne ed: - Master's degree (PhD preferred) in computational biology, computer science or a related field - 3+ years experience in industry analyzing NGS data - Coding fluency such as Python or R", "matched_input": "compute", "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.query.description_excerpt.f3208d99d078ac42fd", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a13fc023b3c8523b1c09fb73867f6e40", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Bioinformatics Scientist Menlo Park, California, United States MyOme's mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors. Position Overview: MyOme is an early stage startup with seasoned entrepreneurs looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist. What You'll Do: - Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data - Identify and develop tools for NGS data analysis - Develop and test algorithms for incorporation into a production pipeline - Design and implement quality control processes - Help design and conduct clinical validation study plans and reports - Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards What You'll Ne ed: - Master's degree (PhD preferred) in computational biology, computer science or a related field - 3+ years experience in industry analyzing NGS data - Coding fluency such as Python or R", "matched_input": "strong", "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 } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://myome.com/about-us/careers?gh_jid=4258030009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://myome.com/about-us/careers?gh_jid=4258030009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://myome.com/about-us/careers?gh_jid=4258030009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://myome.com/about-us/careers?gh_jid=4258030009", "source_values": [ "derived:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "unlimited_pto": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://myome.com/about-us/careers?gh_jid=4258030009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://myome.com/about-us/careers?gh_jid=4258030009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://myome.com/about-us/careers?gh_jid=4258030009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://myome.com/about-us/careers?gh_jid=4258030009", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "8a6f2f5f025c10cab1ba42b5404d0a6c", "title": "Software Engineer, Inference AI/ML", "employer_name": "CoreWeave", "employer_slug": "coreweave", "location_text": "Sunnyvale, CA / Bellevue, WA", "country": "US", "employment_type": "internship", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 92000, "salary_max": 135000, "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": 92000, "base_salary_max": 135000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": true, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": true, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2025-10-24T18:18:12.000Z", "apply_url": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Inference AI/ML Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: Join the Inference team to ship production features that improve latency, reliability, and cost for model serving on our GPU platform. As an IC1, you'll implement well-scoped changes, learn our operational practices, and grow quickly with mentorship from experienced engineers. About the role: - Implement well-scoped features and fixes in Python/Go/C++ for model-serving services (e.g., Triton, vLLM, TensorRT-LLM, Ray Serve). - Write tests, code comments, and short design docs; participate in code reviews. - Add basic metrics and dashboards; assist with alarms and runbooks. - Follow on-call runbooks and learn incident response in a guided rotation. - Contribute to performance experiments (e.g., request batching, concurrency, caching) with guidance. Who You Are: - BS/MS in CS, EE, or related field, or equivalent practical experience. - Foundations in data structures, algorithms, and networked services. Experience with Python or Go (C++ a plus) and Linux fundamentals; Git/CI basics. Exposure to containers and Kubernetes (coursework or projects welcome). Curiosity about GPU inference concepts (micro-batching, KV cache,", "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": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000104/crwv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000104/crwv-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "learning_budget_offered": { "field": "learning_budget_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "learning_budget_offered" }, "us_citizenship_required": { "field": "us_citizenship_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "us_citizenship_required" } }, "seniority": "entry", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": true, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a3f556d5ed8757ae92", "query_id": "gq_dad6f1e92322a0102143", "job_id": "8a6f2f5f025c10cab1ba42b5404d0a6c", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Engineer, Inference AI/ML Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: Join the Inference team to ship production features that improve latency, reliability, and cost for model serving on our GPU platform. As an IC1, you'll implement well-scoped changes, learn our operational practices, and grow quickly with mentorship from experienced engineers. About the role: - Implement well-scoped features and fixes in Python/Go/C++ for model-serving services (e.g., Triton, vLLM, TensorRT-LLM, Ray Serve). - Write tests, code comments, and short design docs; participate in code reviews. - Add basic metrics and dashboards; assist with alarms and runbooks. - Follow on-call runbooks and learn incident response in a guided rotation. - Contribute to performance experiments (e.g., request batching, concurrency, caching) with guidance. Who You Are: - BS/MS in CS, EE, or related field, or equivalent practical experience. - Foundations in data structures, algorithms, and networked services. Experience with Python or Go (C++ a plus) and Linux fundamentals; Git/CI basics. Exposure to containers and Kubernetes (coursework or projects welcome). Curiosity about GPU inference concepts (micro-batching, KV cache,", "matched_input": "compute", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.b1f6ea749e2c8ff98e", "query_id": "gq_dad6f1e92322a0102143", "job_id": "8a6f2f5f025c10cab1ba42b5404d0a6c", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "engineering", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:8a6f2f5f025c10cab1ba42b5404d0a6c:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000104/crwv-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1769628/000176962826000104/crwv-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "learning_budget_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://coreweave.com/careers/job?4609928006&board=coreweave&gh_jid=4609928006", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "a912a2b193611ff4b83ee74e34698684", "title": "Specialist, IT Infrastructure 1", "employer_name": "Celestica Inc.", "employer_slug": "celestica", "location_text": "City Laem Chabang | State/Province Chonburi | Country Thailand", "country": "TH", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://careers.celestica.com/job/Laem-Chabang-Specialist%2C-IT-Infrastructure-1-20/1271458001/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Specialist, IT Infrastructure 1 City Laem Chabang | State/Province Chonburi | Country Thailand Req ID: 130771 Remote Position: Region: Country Thailand State/Province: State/Province Chonburi City Laem Chabang Job Responsibilities: - Set up and maintain the infrastructure including servers, firewalls, switches, access point, router and other equipment. - Maintaining, monitoring and improve all network system and server. - Evaluates new technologies/trends and recommends changes to drive continuous quality improvement - Manage security policy to ensure the information system is protected and prevented from vulnerabilities and risk - Work with internal users and external customers to drive the project - Provides on call/on site support for critical incidents outside of normal business hours and emergency situations as part of Business Continuity Plan requirements Qualification - Bachelor degree in Computer Engineering or computer science - At least 10 years experience in the computer network field - Good knowledge on TCP/IP, VLAN, routing and Network security - Hand-on experience in Firewall,Routers, proxy servers, switches, Wireless, VoIP, WAN, DNS, RADIUS and DHCP - Hand-on experience in Linux Administration - Hand-on experience in Windows client, Windows server Administration - Strong analytical, troubleshooting and problem solving skills. - Good communication (both oral and written) and documentation skills. - Ability to plan projects and tasks. - Able to work under high pressure and overtime Celestica is an equal opportunity employer. All qualified applicants will r", "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": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1030894/000103089426000011/cls-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "remote_status": { "field": "remote_status", "source": "rule:remote_status", "db_column": "remote_status" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "days_in_office": { "field": "days_in_office", "source": "rule:remote_status", "db_column": "days_in_office" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1030894/000103089426000011/cls-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 10, "years_experience_max": 14, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5d5104a65a9b65a941", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a912a2b193611ff4b83ee74e34698684", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Specialist, IT Infrastructure 1 City Laem Chabang | State/Province Chonburi | Country Thailand Req ID: 130771 Remote Position: Region: Country Thailand State/Province: State/Province Chonburi City Laem Chabang Job Responsibilities: - Set up and maintain the infrastructure including servers, firewalls, switches, access point, router and other equipment. - Maintaining, monitoring and improve all network system and server. - Evaluates new technologies/trends and recommends changes to drive continuous quality improvement - Manage security policy to ensure the information system is protected and prevented from vulnerabilities and risk - Work with internal users and external customers to drive the project - Provides on call/on site support for critical incidents outside of normal business hours and emergency situations as part of Business Continuity Plan requirements Qualification - Bachelor degree in Computer Engineering or computer science - At least 10 years experience in the computer network field - Good knowledge on TCP/IP, VLAN, routing and Network security - Hand-on experience in Firewall,Routers, proxy servers, switches, Wireless, VoIP, WAN, DNS, RADIUS and DHCP - Hand-on experience in Linux Administration - Hand-on experience in Windows client, Windows server Administration - Strong analytical, troubleshooting and problem solving skills. - Good communication (both oral and written) and documentation skills. - Ability to plan projects and tasks. - Able to work under high pressure and overtime Celestica is an equal opportunity employer. All qualified applicants will r", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:a912a2b193611ff4b83ee74e34698684:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8e981355076700834a", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a912a2b193611ff4b83ee74e34698684", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description matched \"compute\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Specialist, IT Infrastructure 1 City Laem Chabang | State/Province Chonburi | Country Thailand Req ID: 130771 Remote Position: Region: Country Thailand State/Province: State/Province Chonburi City Laem Chabang Job Responsibilities: - Set up and maintain the infrastructure including servers, firewalls, switches, access point, router and other equipment. - Maintaining, monitoring and improve all network system and server. - Evaluates new technologies/trends and recommends changes to drive continuous quality improvement - Manage security policy to ensure the information system is protected and prevented from vulnerabilities and risk - Work with internal users and external customers to drive the project - Provides on call/on site support for critical incidents outside of normal business hours and emergency situations as part of Business Continuity Plan requirements Qualification - Bachelor degree in Computer Engineering or computer science - At least 10 years experience in the computer network field - Good knowledge on TCP/IP, VLAN, routing and Network security - Hand-on experience in Firewall,Routers, proxy servers, switches, Wireless, VoIP, WAN, DNS, RADIUS and DHCP - Hand-on experience in Linux Administration - Hand-on experience in Windows client, Windows server Administration - Strong analytical, troubleshooting and problem solving skills. - Good communication (both oral and written) and documentation skills. - Ability to plan projects and tasks. - Able to work under high pressure and overtime Celestica is an equal opportunity employer. All qualified applicants will r", "matched_input": "compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:a912a2b193611ff4b83ee74e34698684:description:compute", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3c52d79684a995e52e", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a912a2b193611ff4b83ee74e34698684", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Specialist, IT Infrastructure 1 City Laem Chabang | State/Province Chonburi | Country Thailand Req ID: 130771 Remote Position: Region: Country Thailand State/Province: State/Province Chonburi City Laem Chabang Job Responsibilities: - Set up and maintain the infrastructure including servers, firewalls, switches, access point, router and other equipment. - Maintaining, monitoring and improve all network system and server. - Evaluates new technologies/trends and recommends changes to drive continuous quality improvement - Manage security policy to ensure the information system is protected and prevented from vulnerabilities and risk - Work with internal users and external customers to drive the project - Provides on call/on site support for critical incidents outside of normal business hours and emergency situations as part of Business Continuity Plan requirements Qualification - Bachelor degree in Computer Engineering or computer science - At least 10 years experience in the computer network field - Good knowledge on TCP/IP, VLAN, routing and Network security - Hand-on experience in Firewall,Routers, proxy servers, switches, Wireless, VoIP, WAN, DNS, RADIUS and DHCP - Hand-on experience in Linux Administration - Hand-on experience in Windows client, Windows server Administration - Strong analytical, troubleshooting and problem solving skills. - Good communication (both oral and written) and documentation skills. - Ability to plan projects and tasks. - Able to work under high pressure and overtime Celestica is an equal opportunity employer. All qualified applicants will r", "matched_input": "strong", "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.query.description_excerpt.6f6a6b0168d8401081", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a912a2b193611ff4b83ee74e34698684", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Specialist, IT Infrastructure 1 City Laem Chabang | State/Province Chonburi | Country Thailand Req ID: 130771 Remote Position: Region: Country Thailand State/Province: State/Province Chonburi City Laem Chabang Job Responsibilities: - Set up and maintain the infrastructure including servers, firewalls, switches, access point, router and other equipment. - Maintaining, monitoring and improve all network system and server. - Evaluates new technologies/trends and recommends changes to drive continuous quality improvement - Manage security policy to ensure the information system is protected and prevented from vulnerabilities and risk - Work with internal users and external customers to drive the project - Provides on call/on site support for critical incidents outside of normal business hours and emergency situations as part of Business Continuity Plan requirements Qualification - Bachelor degree in Computer Engineering or computer science - At least 10 years experience in the computer network field - Good knowledge on TCP/IP, VLAN, routing and Network security - Hand-on experience in Firewall,Routers, proxy servers, switches, Wireless, VoIP, WAN, DNS, RADIUS and DHCP - Hand-on experience in Linux Administration - Hand-on experience in Windows client, Windows server Administration - Strong analytical, troubleshooting and problem solving skills. - Good communication (both oral and written) and documentation skills. - Ability to plan projects and tasks. - Able to work under high pressure and overtime Celestica is an equal opportunity employer. All qualified applicants will r", "matched_input": "compute", "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 } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.celestica.com/job/Laem-Chabang-Specialist%2C-IT-Infrastructure-1-20/1271458001/", "source_values": [ "rule:remote_status" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1030894/000103089426000011/cls-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1030894/000103089426000011/cls-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.celestica.com/job/Laem-Chabang-Specialist%2C-IT-Infrastructure-1-20/1271458001/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://careers.celestica.com/job/Laem-Chabang-Specialist%2C-IT-Infrastructure-1-20/1271458001/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "ef34dfbd31f04b582933aa51b5cacb45", "title": "Senior Applied Machine Learning Engineer - VLSI Design", "employer_name": "NVIDIA Corporation", "employer_slug": "nvidia", "location_text": "US, CA, Santa Clara", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-03T00:00:00.000Z", "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applied-Machine-Learning-Engineer---VLSI-Design_JR2014328", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Applied Machine Learning Engineer - VLSI Design US, CA, Santa Clara posted: Posted 9 Days Ago", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.2cc1cb4511bb3b4355", "query_id": "gq_dad6f1e92322a0102143", "job_id": "ef34dfbd31f04b582933aa51b5cacb45", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:ef34dfbd31f04b582933aa51b5cacb45:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-13T01:18:42.546Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applied-Machine-Learning-Engineer---VLSI-Design_JR2014328", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applied-Machine-Learning-Engineer---VLSI-Design_JR2014328", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "a9bbc6ab6bd562117912071ddd823078", "title": "Sales Director (26821)", "employer_name": "Supermicro", "employer_slug": "supermicro", "location_text": "US - HQ (US001) | Country United States | State California | City San Jose", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": 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": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.supermicro.com/job/San-Jose-Sales-Director-%2826821%29-Cali/1297053200/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sales Director (26821) US - HQ (US001) | Country United States | State California | City San Jose Job Req ID: 26821 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro Computer, Inc. is seeking a results-driven Sales Director for a revenue-focused hunter role, dedicated to acquiring new customers across key verticals including Healthcare & Life Sciences (HLS), SLED, Data Centers/Cloud, Manufacturing, and High-Performance Computing (HPC). This individual will play a critical role in driving top-line growth through proactive sales efforts, identifying and closing new business opportunities. The Sales Director will be responsible for maintaining the quality, efficiency, and integrity of Supermicro's sales process by leading strategic Sales GTM's initiatives and collaborating cross-functionally with Engineering, Finance, Logistics, and Program Management teams. The ideal candidate will have a strong sales background, capable of engaging prospects, understanding their needs and business goals, and ultimately negotiating and securing high-impact partnersh", "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": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1375365/000137536525000027/smci-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1375365/000137536525000027/smci-20250630.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "director_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "sales", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": 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.d140d2d3a91a15c903", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a9bbc6ab6bd562117912071ddd823078", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sales Director (26821) US - HQ (US001) | Country United States | State California | City San Jose Job Req ID: 26821 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro Computer, Inc. is seeking a results-driven Sales Director for a revenue-focused hunter role, dedicated to acquiring new customers across key verticals including Healthcare & Life Sciences (HLS), SLED, Data Centers/Cloud, Manufacturing, and High-Performance Computing (HPC). This individual will play a critical role in driving top-line growth through proactive sales efforts, identifying and closing new business opportunities. The Sales Director will be responsible for maintaining the quality, efficiency, and integrity of Supermicro's sales process by leading strategic Sales GTM's initiatives and collaborating cross-functionally with Engineering, Finance, Logistics, and Program Management teams. The ideal candidate will have a strong sales background, capable of engaging prospects, understanding their needs and business goals, and ultimately negotiating and securing high-impact partnersh", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:a9bbc6ab6bd562117912071ddd823078:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.db00c2a01d40d0bb1f", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a9bbc6ab6bd562117912071ddd823078", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description matched \"compute\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sales Director (26821) US - HQ (US001) | Country United States | State California | City San Jose Job Req ID: 26821 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro Computer, Inc. is seeking a results-driven Sales Director for a revenue-focused hunter role, dedicated to acquiring new customers across key verticals including Healthcare & Life Sciences (HLS), SLED, Data Centers/Cloud, Manufacturing, and High-Performance Computing (HPC). This individual will play a critical role in driving top-line growth through proactive sales efforts, identifying and closing new business opportunities. The Sales Director will be responsible for maintaining the quality, efficiency, and integrity of Supermicro's sales process by leading strategic Sales GTM's initiatives and collaborating cross-functionally with Engineering, Finance, Logistics, and Program Management teams. The ideal candidate will have a strong sales background, capable of engaging prospects, understanding their needs and business goals, and ultimately negotiating and securing high-impact partnersh", "matched_input": "compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:a9bbc6ab6bd562117912071ddd823078:description:compute", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.cad199316d7724dc21", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a9bbc6ab6bd562117912071ddd823078", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sales Director (26821) US - HQ (US001) | Country United States | State California | City San Jose Job Req ID: 26821 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro Computer, Inc. is seeking a results-driven Sales Director for a revenue-focused hunter role, dedicated to acquiring new customers across key verticals including Healthcare & Life Sciences (HLS), SLED, Data Centers/Cloud, Manufacturing, and High-Performance Computing (HPC). This individual will play a critical role in driving top-line growth through proactive sales efforts, identifying and closing new business opportunities. The Sales Director will be responsible for maintaining the quality, efficiency, and integrity of Supermicro's sales process by leading strategic Sales GTM's initiatives and collaborating cross-functionally with Engineering, Finance, Logistics, and Program Management teams. The ideal candidate will have a strong sales background, capable of engaging prospects, understanding their needs and business goals, and ultimately negotiating and securing high-impact partnersh", "matched_input": "strong", "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.query.description_excerpt.fc5c76335f212f7f69", "query_id": "gq_dad6f1e92322a0102143", "job_id": "a9bbc6ab6bd562117912071ddd823078", "signal_type": "query_match", "display_text": "Description: \"compute\"", "tooltip": "Description contains \"compute\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sales Director (26821) US - HQ (US001) | Country United States | State California | City San Jose Job Req ID: 26821 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro Computer, Inc. is seeking a results-driven Sales Director for a revenue-focused hunter role, dedicated to acquiring new customers across key verticals including Healthcare & Life Sciences (HLS), SLED, Data Centers/Cloud, Manufacturing, and High-Performance Computing (HPC). This individual will play a critical role in driving top-line growth through proactive sales efforts, identifying and closing new business opportunities. The Sales Director will be responsible for maintaining the quality, efficiency, and integrity of Supermicro's sales process by leading strategic Sales GTM's initiatives and collaborating cross-functionally with Engineering, Finance, Logistics, and Program Management teams. The ideal candidate will have a strong sales background, capable of engaging prospects, understanding their needs and business goals, and ultimately negotiating and securing high-impact partnersh", "matched_input": "compute", "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 } } ], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1375365/000137536525000027/smci-20250630.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1375365/000137536525000027/smci-20250630.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.supermicro.com/job/San-Jose-Sales-Director-%2826821%29-Cali/1297053200/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.supermicro.com/job/San-Jose-Sales-Director-%2826821%29-Cali/1297053200/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.supermicro.com/job/San-Jose-Sales-Director-%2826821%29-Cali/1297053200/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "51c7958c4caafd4579d164471f4eb298", "title": "AI Senior Engineer, Payments", "employer_name": "Tyler Technologies", "employer_slug": "tyler-technologies", "location_text": "Location not specified", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.jobvite.com/tylertech/job/ovr4zfwj", "apply_url_verified": false, "ats": "jobvite", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Senior Engineer, Payments AI Senior Engineer, Payments", "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": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/860731/000086073126000016/tyl-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/860731/000086073126000016/tyl-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.67def33f14df3ef4a3", "query_id": "gq_dad6f1e92322a0102143", "job_id": "51c7958c4caafd4579d164471f4eb298", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "data", "matched_input": "strong compute", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:51c7958c4caafd4579d164471f4eb298:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": null, "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/860731/000086073126000016/tyl-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/860731/000086073126000016/tyl-20251231.htm" ], "checked_at": null }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.jobvite.com/tylertech/job/ovr4zfwj", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.jobvite.com/tylertech/job/ovr4zfwj", "source_values": [ "rule" ], "checked_at": null } } }, { "id": "b3c56288364283d8c3c8ec9933b154d8", "title": "Senior Finance Analyst, Data Centre Finance - EMEA", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Zaragoza, Aragon, ESP", "country": "ES", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-03-25T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Finance Analyst, Data Centre Finance - EMEA Zaragoza, Aragon, ESP Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services - now widely known as cloud computing - based on Amazon's own back-end technology platform. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too! We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers. We are growing rapidly in existing regions as well as expanding into new regions. Key job responsibilities -", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "finance", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.79c644f482041d6b1b", "query_id": "gq_dad6f1e92322a0102143", "job_id": "b3c56288364283d8c3c8ec9933b154d8", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description matched \"strong\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Finance Analyst, Data Centre Finance - EMEA Zaragoza, Aragon, ESP Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services - now widely known as cloud computing - based on Amazon's own back-end technology platform. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too! We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers. We are growing rapidly in existing regions as well as expanding into new regions. Key job responsibilities -", "matched_input": "strong", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_dad6f1e92322a0102143:b3c56288364283d8c3c8ec9933b154d8:description:strong", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0cfb27cb0a1ea62aef", "query_id": "gq_dad6f1e92322a0102143", "job_id": "b3c56288364283d8c3c8ec9933b154d8", "signal_type": "query_match", "display_text": "Description: \"strong\"", "tooltip": "Description contains \"strong\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Finance Analyst, Data Centre Finance - EMEA Zaragoza, Aragon, ESP Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services - now widely known as cloud computing - based on Amazon's own back-end technology platform. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too! We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers. We are growing rapidly in existing regions as well as expanding into new regions. Key job responsibilities -", "matched_input": "strong", "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 } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10376529/senior-finance-analyst-data-centre-finance-emea", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } } ], "total": 3027, "page": 34, "per_page": 24, "applied_filters": { "q": "Strong Compute" }, "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": [ "strong", "compute" ], "active_filter_keys": [], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": { "query_context": { "query_id": "ac0d4f0c-07c1-4803-8101-b925b68ea40c", "issued_at": "2026-08-27T03:11:16.690Z", "route": "/jobs", "page": 34, "per_page": 24, "total_results": 3027, "sort": "relevance", "ranking_policy": "hybrid_rrf_rerank", "ranking_policy_version": "inv382.jobs.search.v2", "query_hash": "hmac_sha256:bsy2d2XjkBmxpieTZ-3JICk4Ui4CfM9hwXrUKpPmaFY", "filter_hash": "hmac_sha256:6CBErDPXOFVCSNkSGbTmuw6GxoMjwSLro0KqZMtxL_0", "query_features": { "has_q": true, "q_term_count": 2, "q_length_bucket": "1_15", "q_pii_redacted": false, "state_count": 0, "benefit_filters": [], "quality_floor": "default" }, "exposures": [ { "result_id": "a5aa4a76f6922623c27c24d710ea6b34", "position": 793, "page_position": 1, "retrieval_features": { "bm25_score": 0, "vector_score": 0.34991280139012215, "rrf_score": 0.002178649237472767, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 87, "quality_score": 35 } }, { "result_id": "96ea91544cd1a0884534bd5216284ca8", "position": 794, "page_position": 2, "retrieval_features": { "bm25_score": 0, "vector_score": 0.349922776222229, "rrf_score": 0.002173913043478261, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 133, "quality_score": 55 } }, { "result_id": "6c67bac6bcf3d1587e62775a95363288", "position": 795, "page_position": 3, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.002173913043478261, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 77, "quality_score": 45 } }, { "result_id": "6ed87cb566aad3c9eaa7759fd315bb50", "position": 796, "page_position": 4, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.0021691973969631237, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 79, "quality_score": 55 } }, { "result_id": "7ee3af0fcdcc37dd7f406903184252ea", "position": 797, "page_position": 5, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3499351739883423, "rrf_score": 0.0021691973969631237, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 384, "quality_score": 55 } }, { "result_id": "1c3d5462ebda371ca15f60b235c2941a", "position": 798, "page_position": 6, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3500109910964966, "rrf_score": 0.0021645021645021645, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 477, "quality_score": 55 } }, { "result_id": "7c5bd32779cede2a5fa2abbd421f69e9", "position": 799, "page_position": 7, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.0021645021645021645, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 77, "quality_score": 45 } }, { "result_id": "77deb35fe310e0a03990d2796cd38754", "position": 800, "page_position": 8, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3500142276270072, "rrf_score": 0.0021598272138228943, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 131, "quality_score": 55 } }, { "result_id": "81bf0d3fcbeccff9ecaff6828721c2be", "position": 801, "page_position": 9, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.0021598272138228943, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 122, "quality_score": 45 } }, { "result_id": "727672df32b32b1bd12f959bcb7b8a44", "position": 802, "page_position": 10, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3500178664933352, "rrf_score": 0.0021551724137931034, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 80, "quality_score": 45 } }, { "result_id": "8274200199a45638b3077e62ea30c607", "position": 803, "page_position": 11, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.0021551724137931034, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 99, "quality_score": 45 } }, { "result_id": "8767367adb5f1acd9ba2daddfd4e141c", "position": 804, "page_position": 12, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.002150537634408602, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 114, "quality_score": 55 } }, { "result_id": "b43b83d638c1ce9f4e621c88fab0941a", "position": 805, "page_position": 13, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3500380516052246, "rrf_score": 0.002150537634408602, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 652, "quality_score": 55 } }, { "result_id": "ef22418d5f2776adc1b3fbdedd78460d", "position": 806, "page_position": 14, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3500927269348185, "rrf_score": 0.002145922746781116, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 92, "quality_score": 45 } }, { "result_id": "9d77bdc3677a17119e53673667215b3a", "position": 807, "page_position": 15, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.0021413276231263384, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 83, "quality_score": 55 } }, { "result_id": "288b43fed90c20635e2d2e5139f273d0", "position": 808, "page_position": 16, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3501042514977294, "rrf_score": 0.0021413276231263384, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 77, "quality_score": 35 } }, { "result_id": "2dd5dbe566889ab9c0933b753c839a31", "position": 809, "page_position": 17, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35015738010406494, "rrf_score": 0.002136752136752137, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 82, "quality_score": 55 } }, { "result_id": "a13fc023b3c8523b1c09fb73867f6e40", "position": 810, "page_position": 18, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.002136752136752137, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": true, "posted_age_days": 93, "quality_score": 55 } }, { "result_id": "8a6f2f5f025c10cab1ba42b5404d0a6c", "position": 811, "page_position": 19, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3502368509487045, "rrf_score": 0.0021321961620469083, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 306, "quality_score": 55 } }, { "result_id": "a912a2b193611ff4b83ee74e34698684", "position": 812, "page_position": 20, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.0021321961620469083, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 75, "quality_score": 45 } }, { "result_id": "ef34dfbd31f04b582933aa51b5cacb45", "position": 813, "page_position": 21, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35026460886001587, "rrf_score": 0.002127659574468085, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 85, "quality_score": 35 } }, { "result_id": "a9bbc6ab6bd562117912071ddd823078", "position": 814, "page_position": 22, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.002127659574468085, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": false, "salary_disclosed": false, "posted_age_days": 75, "quality_score": 45 } }, { "result_id": "51c7958c4caafd4579d164471f4eb298", "position": 815, "page_position": 23, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35027889309651183, "rrf_score": 0.0021231422505307855, "text_match_title": false, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 77, "quality_score": 35 } }, { "result_id": "b3c56288364283d8c3c8ec9933b154d8", "position": 816, "page_position": 24, "retrieval_features": { "bm25_score": -6.022484660148621, "vector_score": 0, "rrf_score": 0.0021231422505307855, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 155, "quality_score": 45 } } ] }, "context_signature": "kvOfUI66BRFY3ekuY9szMTM0xWaAaUnykSvq_LbWA2I", "event_token": "kvOfUI66BRFY3ekuY9szMTM0xWaAaUnykSvq_LbWA2I" } }