{ "results": [ { "id": "3f5f553296c85feee6be2be33899187b", "title": "Senior Director, Affordability Lead", "employer_name": "Pfizer", "employer_slug": "pfizer", "location_text": "7 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T00:00:00.000Z", "apply_url": "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Senior-Director--Affordability-Lead_4952743-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Director, Affordability Lead 7 Locations posted: Posted Yesterday", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://cdn.pfizer.com/pfizercom/careers/P0353400_VRD_recruiting_brochure.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/78003/000007800326000026/pfe-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/78003/000007800326000026/pfe-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://cdn.pfizer.com/pfizercom/careers/P0353400_VRD_recruiting_brochure.pdf", "db_column": "parental_leave_weeks", "source_url": "https://cdn.pfizer.com/pfizercom/careers/P0353400_VRD_recruiting_brochure.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://cdn.pfizer.com/pfizercom/careers/P0353400_VRD_recruiting_brochure.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://cdn.pfizer.com/pfizercom/careers/P0353400_VRD_recruiting_brochure.pdf" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.5217f0747c8c69a196", "query_id": "gq_525b29d82c2d379225f9", "job_id": "3f5f553296c85feee6be2be33899187b", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Senior Director, Affordability Lead", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:995967d05941156ab7777162", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.9daadc3301a963294b", "query_id": "gq_525b29d82c2d379225f9", "job_id": "3f5f553296c85feee6be2be33899187b", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:3f5f553296c85feee6be2be33899187b:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.ddf5440751cdef26f5", "query_id": "gq_525b29d82c2d379225f9", "job_id": "3f5f553296c85feee6be2be33899187b", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.f6ec3a86a48bd9be9b", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/78003/000007800326000026/pfe-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/78003/000007800326000026/pfe-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Senior-Director--Affordability-Lead_4952743-1", "source_values": [ "https://cdn.pfizer.com/pfizercom/careers/P0353400_VRD_recruiting_brochure.pdf" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Senior-Director--Affordability-Lead_4952743-1", "source_values": [ "https://cdn.pfizer.com/pfizercom/careers/P0353400_VRD_recruiting_brochure.pdf" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Senior-Director--Affordability-Lead_4952743-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "04e7baac736485122e3944d24edab0de", "title": "Casual Clinical Consultant, Joint Replacement", "employer_name": "Stryker Corporation", "employer_slug": "stryker", "location_text": "Darwin, Australia", "country": "AU", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Darwin-Australia/Casual-Clinical-Consultant--Joint-Replacement_R561446", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Casual Clinical Consultant, Joint Replacement Darwin, Australia posted: Posted 30+ Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work", "db_column": "parental_leave_weeks", "source_url": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.8fc0846078c02d2625", "query_id": "gq_525b29d82c2d379225f9", "job_id": "04e7baac736485122e3944d24edab0de", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Casual Clinical Consultant, Joint Replacement", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:592361578321dc8d2d012afc", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.94bea0baeef5ee82c8", "query_id": "gq_525b29d82c2d379225f9", "job_id": "04e7baac736485122e3944d24edab0de", "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": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:04e7baac736485122e3944d24edab0de:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.acc5c30ab1588e95e1", "query_id": "gq_525b29d82c2d379225f9", "job_id": "04e7baac736485122e3944d24edab0de", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.e8fde653f4a90f7f99", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/310764/000031076426000010/syk-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Darwin-Australia/Casual-Clinical-Consultant--Joint-Replacement_R561446", "source_values": [ "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Darwin-Australia/Casual-Clinical-Consultant--Joint-Replacement_R561446", "source_values": [ "https://totalrewards.stryker.com/en/Work-or-Life/Time-Away-from-Work" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Darwin-Australia/Casual-Clinical-Consultant--Joint-Replacement_R561446", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://stryker.wd1.myworkdayjobs.com/StrykerCareers/job/Darwin-Australia/Casual-Clinical-Consultant--Joint-Replacement_R561446", "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": "6d5c6ce252fdbd81208eba5ca3c137c2", "title": "Senior Research Data Scientist, Android Tablets", "employer_name": "Google", "employer_slug": "google", "location_text": "Kraków, Poland", "country": "PL", "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" ], "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": "2026-06-08T14:08:16.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckcfuwJcqYivuFGm5e1hMk8uq__VzMxBg2oHXXVsA3zpdEjsACxwdTKYeRDT3_uybmpL0uvradJOgtOdDxtB61BPo0mM3jp8u85rLP6AlQjjzpWs2uDD6TeqSXDrjsg%3D%3D_V2&loc=PL&title=Senior+Research+Data+Scientist", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Research Data Scientist, Android Tablets Kraków, Poland The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Poland: zł340000 - zł349000 (PLN) + 15% bonus target + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-project and team settings to identify and clarify critical business or product questions, providing expert feedback to translate and refine these questions into tractable analyses, evaluation metrics, or rigorous mathematical models. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Leverage specialized knowledge of custom data infrastructure and existing data models to improve product performance. Drive AI product success by owning the end-to-end data science life-cycle for features, measuring and optimizing AI experience impact to ensure Google's innovations deliver tangible user value. Leverage deep knowledge of state-of-the-art ML/statistical approaches and causal inference to expertly develop inference algorithms and estimate user incremental lift. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems,", "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": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "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" }, "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" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "equity_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" ] }, "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" }, "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": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 8, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_industry_source": "source_sector", "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": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8493fc290a2e756d59", "query_id": "gq_525b29d82c2d379225f9", "job_id": "6d5c6ce252fdbd81208eba5ca3c137c2", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description matched \"tractable\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Research Data Scientist, Android Tablets Kraków, Poland The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Poland: zł340000 - zł349000 (PLN) + 15% bonus target + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-project and team settings to identify and clarify critical business or product questions, providing expert feedback to translate and refine these questions into tractable analyses, evaluation metrics, or rigorous mathematical models. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Leverage specialized knowledge of custom data infrastructure and existing data models to improve product performance. Drive AI product success by owning the end-to-end data science life-cycle for features, measuring and optimizing AI experience impact to ensure Google's innovations deliver tangible user value. Leverage deep knowledge of state-of-the-art ML/statistical approaches and causal inference to expertly develop inference algorithms and estimate user incremental lift. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems,", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:6d5c6ce252fdbd81208eba5ca3c137c2:description:tractable", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.41b4cdbba0f32ec459", "query_id": "gq_525b29d82c2d379225f9", "job_id": "6d5c6ce252fdbd81208eba5ca3c137c2", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Research Data Scientist, Android Tablets Kraków, Poland The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Poland: zł340000 - zł349000 (PLN) + 15% bonus target + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-project and team settings to identify and clarify critical business or product questions, providing expert feedback to translate and refine these questions into tractable analyses, evaluation metrics, or rigorous mathematical models. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Leverage specialized knowledge of custom data infrastructure and existing data models to improve product performance. Drive AI product success by owning the end-to-end data science life-cycle for features, measuring and optimizing AI experience impact to ensure Google's innovations deliver tangible user value. Leverage deep knowledge of state-of-the-art ML/statistical approaches and causal inference to expertly develop inference algorithms and estimate user incremental lift. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems,", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:8bac776c95409f383aeaef73", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.884fa86cbe79bdae20", "query_id": "gq_525b29d82c2d379225f9", "job_id": "6d5c6ce252fdbd81208eba5ca3c137c2", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description contains \"tractable\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Research Data Scientist, Android Tablets Kraków, Poland The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Poland: zł340000 - zł349000 (PLN) + 15% bonus target + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-project and team settings to identify and clarify critical business or product questions, providing expert feedback to translate and refine these questions into tractable analyses, evaluation metrics, or rigorous mathematical models. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Leverage specialized knowledge of custom data infrastructure and existing data models to improve product performance. Drive AI product success by owning the end-to-end data science life-cycle for features, measuring and optimizing AI experience impact to ensure Google's innovations deliver tangible user value. Leverage deep knowledge of state-of-the-art ML/statistical approaches and causal inference to expertly develop inference algorithms and estimate user incremental lift. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems,", "matched_input": "tractable", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.19368e854d5b3816e2", "query_id": "gq_525b29d82c2d379225f9", "job_id": "6d5c6ce252fdbd81208eba5ca3c137c2", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.91bdc8a699f4fc6419", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/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=CiUAL2FckcfuwJcqYivuFGm5e1hMk8uq__VzMxBg2oHXXVsA3zpdEjsACxwdTKYeRDT3_uybmpL0uvradJOgtOdDxtB61BPo0mM3jp8u85rLP6AlQjjzpWs2uDD6TeqSXDrjsg%3D%3D_V2&loc=PL&title=Senior+Research+Data+Scientist", "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=CiUAL2FckcfuwJcqYivuFGm5e1hMk8uq__VzMxBg2oHXXVsA3zpdEjsACxwdTKYeRDT3_uybmpL0uvradJOgtOdDxtB61BPo0mM3jp8u85rLP6AlQjjzpWs2uDD6TeqSXDrjsg%3D%3D_V2&loc=PL&title=Senior+Research+Data+Scientist", "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=CiUAL2FckcfuwJcqYivuFGm5e1hMk8uq__VzMxBg2oHXXVsA3zpdEjsACxwdTKYeRDT3_uybmpL0uvradJOgtOdDxtB61BPo0mM3jp8u85rLP6AlQjjzpWs2uDD6TeqSXDrjsg%3D%3D_V2&loc=PL&title=Senior+Research+Data+Scientist", "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=CiUAL2FckcfuwJcqYivuFGm5e1hMk8uq__VzMxBg2oHXXVsA3zpdEjsACxwdTKYeRDT3_uybmpL0uvradJOgtOdDxtB61BPo0mM3jp8u85rLP6AlQjjzpWs2uDD6TeqSXDrjsg%3D%3D_V2&loc=PL&title=Senior+Research+Data+Scientist", "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.google.com/about/careers/applications/signin?jobId=CiUAL2FckcfuwJcqYivuFGm5e1hMk8uq__VzMxBg2oHXXVsA3zpdEjsACxwdTKYeRDT3_uybmpL0uvradJOgtOdDxtB61BPo0mM3jp8u85rLP6AlQjjzpWs2uDD6TeqSXDrjsg%3D%3D_V2&loc=PL&title=Senior+Research+Data+Scientist", "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": "7846fb289c8ab67dba3e4fe47cad757f", "title": "Nurse Practitioner - NP Primary Care - Every Weekend", "employer_name": "CVS Health Corporation", "employer_slug": "cvs-health", "location_text": "OH - Kent", "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": "2026-06-11T00:00:00.000Z", "apply_url": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/OH---Kent/Nurse-Practitioner---NP-Primary-Care---Every-Weekend_R0863871-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Nurse Practitioner - NP Primary Care - Every Weekend OH - Kent posted: Posted Yesterday", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "parental_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "healthcare", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.c4f7517158e1e01581", "query_id": "gq_525b29d82c2d379225f9", "job_id": "7846fb289c8ab67dba3e4fe47cad757f", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Nurse Practitioner - NP Primary Care - Every Weekend", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b82673bb6d00b04b31d97fd7", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.47f928e69a1df229a8", "query_id": "gq_525b29d82c2d379225f9", "job_id": "7846fb289c8ab67dba3e4fe47cad757f", "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": "healthcare", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:7846fb289c8ab67dba3e4fe47cad757f:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.fd0be6e3a69c2f5882", "query_id": "gq_525b29d82c2d379225f9", "job_id": "7846fb289c8ab67dba3e4fe47cad757f", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.0305e2d5a4cec48717", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/OH---Kent/Nurse-Practitioner---NP-Primary-Care---Every-Weekend_R0863871-1", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/OH---Kent/Nurse-Practitioner---NP-Primary-Care---Every-Weekend_R0863871-1", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/OH---Kent/Nurse-Practitioner---NP-Primary-Care---Every-Weekend_R0863871-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/OH---Kent/Nurse-Practitioner---NP-Primary-Care---Every-Weekend_R0863871-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "788118ed84ef900bf2922267d6581b06", "title": "Patient Care Coordinator", "employer_name": "CVS Health Corporation", "employer_slug": "cvs-health", "location_text": "PA - Work from home", "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": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T00:00:00.000Z", "apply_url": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/PA---Work-from-home/Patient-Care-Coordinator_R0918043", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Patient Care Coordinator PA - Work from home posted: Posted Yesterday", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 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": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "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/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "parental_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "healthcare", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.35111150a04e710fbc", "query_id": "gq_525b29d82c2d379225f9", "job_id": "788118ed84ef900bf2922267d6581b06", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Patient Care Coordinator", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9ed45337a20d30f66a4c9787", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.c9dd1c5eb7793121db", "query_id": "gq_525b29d82c2d379225f9", "job_id": "788118ed84ef900bf2922267d6581b06", "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": "healthcare", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:788118ed84ef900bf2922267d6581b06:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.eba3a536030e79dc34", "query_id": "gq_525b29d82c2d379225f9", "job_id": "788118ed84ef900bf2922267d6581b06", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.c50afa632ee71fa10e", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/PA---Work-from-home/Patient-Care-Coordinator_R0918043", "source_values": [ "rule:remote_status" ], "checked_at": null }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/PA---Work-from-home/Patient-Care-Coordinator_R0918043", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/PA---Work-from-home/Patient-Care-Coordinator_R0918043", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/PA---Work-from-home/Patient-Care-Coordinator_R0918043", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/PA---Work-from-home/Patient-Care-Coordinator_R0918043", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "f00c392db5d70458d87b7245d1d5500a", "title": "Welcome Coordinator Float", "employer_name": "CVS Health Corporation", "employer_slug": "cvs-health", "location_text": "KY - Louisville", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/KY---Louisville/Welcome-Coordinator_R0870186", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Welcome Coordinator Float KY - Louisville posted: Posted 30+ Days Ago", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "parental_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.7e23b8740cc48cc429", "query_id": "gq_525b29d82c2d379225f9", "job_id": "f00c392db5d70458d87b7245d1d5500a", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Welcome Coordinator Float", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:cb3b7e9be5043f904dc4d100", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.4e8bb1319027166602", "query_id": "gq_525b29d82c2d379225f9", "job_id": "f00c392db5d70458d87b7245d1d5500a", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:f00c392db5d70458d87b7245d1d5500a:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.cbd219ab588917aba1", "query_id": "gq_525b29d82c2d379225f9", "job_id": "f00c392db5d70458d87b7245d1d5500a", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.d41ac4621a4b7ec19a", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/KY---Louisville/Welcome-Coordinator_R0870186", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/KY---Louisville/Welcome-Coordinator_R0870186", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/KY---Louisville/Welcome-Coordinator_R0870186", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "bf78a5f75bf50f308fef2a3efb1c6f3e", "title": "Welcome Coordinator Float", "employer_name": "CVS Health Corporation", "employer_slug": "cvs-health", "location_text": "KY - Louisville", "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": "2026-06-06T00:00:00.000Z", "apply_url": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/KY---Louisville/Welcome-Coordinate-Float_R0876607", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Welcome Coordinator Float KY - Louisville posted: Posted 6 Days Ago", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "parental_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.5f4ba722577a1f8868", "query_id": "gq_525b29d82c2d379225f9", "job_id": "bf78a5f75bf50f308fef2a3efb1c6f3e", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Welcome Coordinator Float", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:5160029886db649786bb3de8", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.53ed9f10416163c5c6", "query_id": "gq_525b29d82c2d379225f9", "job_id": "bf78a5f75bf50f308fef2a3efb1c6f3e", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:bf78a5f75bf50f308fef2a3efb1c6f3e:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.987bec36e7290ce780", "query_id": "gq_525b29d82c2d379225f9", "job_id": "bf78a5f75bf50f308fef2a3efb1c6f3e", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.a63b12fbd3d4e71db6", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/KY---Louisville/Welcome-Coordinate-Float_R0876607", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/KY---Louisville/Welcome-Coordinate-Float_R0876607", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/KY---Louisville/Welcome-Coordinate-Float_R0876607", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "9b473368bacf41ff1b22a422d33b0054", "title": "Nurse Practitioner - NP - Every Weekend", "employer_name": "CVS Health Corporation", "employer_slug": "cvs-health", "location_text": "IN - Greenwood", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/IN---Greenwood/Nurse-Practitioner---NP---Every-Weekend_R0909034-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Nurse Practitioner - NP - Every Weekend IN - Greenwood posted: Posted 30+ Days Ago", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "parental_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "healthcare", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.42e34d3914b923457f", "query_id": "gq_525b29d82c2d379225f9", "job_id": "9b473368bacf41ff1b22a422d33b0054", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Nurse Practitioner - NP - Every Weekend", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:a49f59218b1bb5fd5468d90b", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.14815d2619c6ea71f0", "query_id": "gq_525b29d82c2d379225f9", "job_id": "9b473368bacf41ff1b22a422d33b0054", "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": "healthcare", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:9b473368bacf41ff1b22a422d33b0054:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.b61a1c6706ec610cfa", "query_id": "gq_525b29d82c2d379225f9", "job_id": "9b473368bacf41ff1b22a422d33b0054", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.4f3a0cf31f1528d3d2", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/IN---Greenwood/Nurse-Practitioner---NP---Every-Weekend_R0909034-1", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/IN---Greenwood/Nurse-Practitioner---NP---Every-Weekend_R0909034-1", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/IN---Greenwood/Nurse-Practitioner---NP---Every-Weekend_R0909034-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/IN---Greenwood/Nurse-Practitioner---NP---Every-Weekend_R0909034-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "0886be78abc05bc6d3f4e5bb00040bd6", "title": "Accounting Coordinator", "employer_name": "CVS Health Corporation", "employer_slug": "cvs-health", "location_text": "NY - Amherst", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T00:00:00.000Z", "apply_url": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/NY---Amherst/Accounting-Coordinator_R0905071-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Accounting Coordinator NY - Amherst posted: Posted 4 Days Ago", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 48, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "parental_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://learn.bswift.com/cvshealth-mainland/family-and-leave", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://learn.bswift.com/cvshealth-mainland/family-and-leave" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "finance", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "source_sector", "employer_size": null, "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.c222b82c4ea5dbd623", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0886be78abc05bc6d3f4e5bb00040bd6", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Accounting Coordinator", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9d71b1647338eba8031c89f6", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.911b4b83846c6f13a6", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0886be78abc05bc6d3f4e5bb00040bd6", "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": "finance", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:0886be78abc05bc6d3f4e5bb00040bd6:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.0013c0551f8f7a7db5", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0886be78abc05bc6d3f4e5bb00040bd6", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.d2ede26f217055c217", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/64803/000006480326000010/cvs-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/NY---Amherst/Accounting-Coordinator_R0905071-1", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/NY---Amherst/Accounting-Coordinator_R0905071-1", "source_values": [ "https://learn.bswift.com/cvshealth-mainland/family-and-leave" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/NY---Amherst/Accounting-Coordinator_R0905071-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://cvshealth.wd1.myworkdayjobs.com/CVS_Health_Careers/job/NY---Amherst/Accounting-Coordinator_R0905071-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "3d1a1f55a45803445bb80691bdb2bec7", "title": "DevOps Engineers - Poly required", "employer_name": "Leidos", "employer_slug": "leidos", "location_text": "Annapolis Junction, MD", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://leidos.wd5.myworkdayjobs.com/External/job/Annapolis-Junction-MD/DevOps-Engineers---Poly-required_R-00182338", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "DevOps Engineers - Poly required Annapolis Junction, MD posted: Posted 30+ Days Ago", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.leidos.com/careers/pay-benefits", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 73, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.leidos.com/careers/pay-benefits", "db_column": "parental_leave_weeks", "source_url": "https://www.leidos.com/careers/pay-benefits" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.leidos.com/careers/pay-benefits", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.leidos.com/careers/pay-benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Defense", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.9be2f207014b212933", "query_id": "gq_525b29d82c2d379225f9", "job_id": "3d1a1f55a45803445bb80691bdb2bec7", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "DevOps Engineers - Poly required", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:4728ab184eef7b261edbfdeb", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.f2a1f4287f223196c1", "query_id": "gq_525b29d82c2d379225f9", "job_id": "3d1a1f55a45803445bb80691bdb2bec7", "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": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:3d1a1f55a45803445bb80691bdb2bec7:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.afd3b0f571b615581c", "query_id": "gq_525b29d82c2d379225f9", "job_id": "3d1a1f55a45803445bb80691bdb2bec7", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.71b3ed044d2a3da903", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Annapolis-Junction-MD/DevOps-Engineers---Poly-required_R-00182338", "source_values": [ "https://www.leidos.com/careers/pay-benefits" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Annapolis-Junction-MD/DevOps-Engineers---Poly-required_R-00182338", "source_values": [ "https://www.leidos.com/careers/pay-benefits" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Annapolis-Junction-MD/DevOps-Engineers---Poly-required_R-00182338", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Annapolis-Junction-MD/DevOps-Engineers---Poly-required_R-00182338", "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": "617e9f7bf7d5dbeb23acedbb729aefab", "title": "Mechanical Engineer", "employer_name": "Xylem Inc.", "employer_slug": "xylem", "location_text": "Caldicot", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://xylem.wd5.myworkdayjobs.com/xylem-careers/job/Caldicot/Mechanical-Engineer_R46572", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Mechanical Engineer Caldicot posted: Posted 30+ Days Ago", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.xylem.com/siteassets/sustainability/resources/xylem-paid-parental-leave-policy.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 73, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1524472/000152447226000012/xyl-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/1524472/000152447226000012/xyl-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.xylem.com/siteassets/sustainability/resources/xylem-paid-parental-leave-policy.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.xylem.com/siteassets/sustainability/resources/xylem-paid-parental-leave-policy.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.xylem.com/siteassets/sustainability/resources/xylem-paid-parental-leave-policy.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.xylem.com/siteassets/sustainability/resources/xylem-paid-parental-leave-policy.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.b4d4680694e960c161", "query_id": "gq_525b29d82c2d379225f9", "job_id": "617e9f7bf7d5dbeb23acedbb729aefab", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Mechanical Engineer", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:7541fa2f223587216a5d12b4", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.f8da4243ee9487ab0b", "query_id": "gq_525b29d82c2d379225f9", "job_id": "617e9f7bf7d5dbeb23acedbb729aefab", "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": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:617e9f7bf7d5dbeb23acedbb729aefab:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.c963d4ae81462e6b22", "query_id": "gq_525b29d82c2d379225f9", "job_id": "617e9f7bf7d5dbeb23acedbb729aefab", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.a002eca77c6cbdff45", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1524472/000152447226000012/xyl-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1524472/000152447226000012/xyl-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://xylem.wd5.myworkdayjobs.com/xylem-careers/job/Caldicot/Mechanical-Engineer_R46572", "source_values": [ "https://www.xylem.com/siteassets/sustainability/resources/xylem-paid-parental-leave-policy.pdf" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://xylem.wd5.myworkdayjobs.com/xylem-careers/job/Caldicot/Mechanical-Engineer_R46572", "source_values": [ "https://www.xylem.com/siteassets/sustainability/resources/xylem-paid-parental-leave-policy.pdf" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://xylem.wd5.myworkdayjobs.com/xylem-careers/job/Caldicot/Mechanical-Engineer_R46572", "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://xylem.wd5.myworkdayjobs.com/xylem-careers/job/Caldicot/Mechanical-Engineer_R46572", "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": "ebeb12532febf145247f956f2fc97bdc", "title": "Planner", "employer_name": "Ecolab", "employer_slug": "ecolab", "location_text": "EGY - Cairo - Cairo", "country": "EG", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-19T00:00:00.000Z", "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/EGY---Cairo---Cairo/Planner_R00294316", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Planner EGY - Cairo - Cairo posted: Posted 24 Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.987d3a3d96dd93930c", "query_id": "gq_525b29d82c2d379225f9", "job_id": "ebeb12532febf145247f956f2fc97bdc", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Planner", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:5bb0f690a027d7dbeac48f8e", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.840d95d98d367fb4c9", "query_id": "gq_525b29d82c2d379225f9", "job_id": "ebeb12532febf145247f956f2fc97bdc", "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": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:ebeb12532febf145247f956f2fc97bdc:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.85dcb6b05639ab9ce8", "query_id": "gq_525b29d82c2d379225f9", "job_id": "ebeb12532febf145247f956f2fc97bdc", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.58c8f437b95b0f11ad", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/EGY---Cairo---Cairo/Planner_R00294316", "source_values": [ "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/EGY---Cairo---Cairo/Planner_R00294316", "source_values": [ "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/EGY---Cairo---Cairo/Planner_R00294316", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/EGY---Cairo---Cairo/Planner_R00294316", "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": "98f2246bf50d6788a8fef5efef841c69", "title": "Applied Scientist, Selling Partner Support Engagement", "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": 136000, "salary_max": 184000, "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": 136000, "base_salary_max": 184000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10442992/applied-scientist-selling-partner-support-engagement", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for an Applied Scientist who wants to work at the intersection of agentic architectures and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine Learning and Statistics -", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 56, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "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" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "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": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3e174dc73ca908e300", "query_id": "gq_525b29d82c2d379225f9", "job_id": "98f2246bf50d6788a8fef5efef841c69", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description matched \"tractable\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for an Applied Scientist who wants to work at the intersection of agentic architectures and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine Learning and Statistics -", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:98f2246bf50d6788a8fef5efef841c69:description:tractable", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.599278f83a163237a3", "query_id": "gq_525b29d82c2d379225f9", "job_id": "98f2246bf50d6788a8fef5efef841c69", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for an Applied Scientist who wants to work at the intersection of agentic architectures and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine Learning and Statistics -", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:98c7a79aabea9112855553d5", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5fc3ddf4c6a025d2ea", "query_id": "gq_525b29d82c2d379225f9", "job_id": "98f2246bf50d6788a8fef5efef841c69", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description contains \"tractable\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for an Applied Scientist who wants to work at the intersection of agentic architectures and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine Learning and Statistics -", "matched_input": "tractable", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.1b324230561aabb1f7", "query_id": "gq_525b29d82c2d379225f9", "job_id": "98f2246bf50d6788a8fef5efef841c69", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.b8a009f8ad3b9f0e5b", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "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/10442992/applied-scientist-selling-partner-support-engagement", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "8b45e0d6a5e9b7f611c627d9c3d000bf", "title": "Financial Services Budget Formulation Analyst", "employer_name": "Leidos", "employer_slug": "leidos", "location_text": "Bethesda, MD", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T00:00:00.000Z", "apply_url": "https://leidos.wd5.myworkdayjobs.com/External/job/Bethesda-MD/Financial-Services-Budget-Formulation-Analyst_R-00185280", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Financial Services Budget Formulation Analyst Bethesda, MD posted: Posted Yesterday", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.leidos.com/careers/pay-benefits", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 73, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.leidos.com/careers/pay-benefits", "db_column": "parental_leave_weeks", "source_url": "https://www.leidos.com/careers/pay-benefits" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.leidos.com/careers/pay-benefits", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.leidos.com/careers/pay-benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Defense", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.c014aa63cce9edc575", "query_id": "gq_525b29d82c2d379225f9", "job_id": "8b45e0d6a5e9b7f611c627d9c3d000bf", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Financial Services Budget Formulation Analyst", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0833ee847540864fd31c7a5d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.a87ab401729400f58a", "query_id": "gq_525b29d82c2d379225f9", "job_id": "8b45e0d6a5e9b7f611c627d9c3d000bf", "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": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:8b45e0d6a5e9b7f611c627d9c3d000bf:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.9b54e9e8bab98fe7b0", "query_id": "gq_525b29d82c2d379225f9", "job_id": "8b45e0d6a5e9b7f611c627d9c3d000bf", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.88c42f09ec53ae01bc", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1336920/000133692026000030/ldos-20260102.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Bethesda-MD/Financial-Services-Budget-Formulation-Analyst_R-00185280", "source_values": [ "https://www.leidos.com/careers/pay-benefits" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Bethesda-MD/Financial-Services-Budget-Formulation-Analyst_R-00185280", "source_values": [ "https://www.leidos.com/careers/pay-benefits" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Bethesda-MD/Financial-Services-Budget-Formulation-Analyst_R-00185280", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://leidos.wd5.myworkdayjobs.com/External/job/Bethesda-MD/Financial-Services-Budget-Formulation-Analyst_R-00185280", "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": "73fe985c5947b3f71a28a6dec2a24c1f", "title": "Senior Staff Research Data Scientist, DevIE", "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": 262000, "salary_max": 365000, "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": 262000, "base_salary_max": 365000, "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": "2026-06-05T08:08:11.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckb9IBlwVS4-C3EMNoXbGnANGsMtTQmUsX8fqsXLLQA9FEjsACxwdTJfUZWJ9MadssMwecUFa97bwUCIShuE90pvSa6dYX0l5_428NFTpZxEvIF--1317uqw0RCp5EA%3D%3D_V2&loc=US&title=Senior+Staff+Research+Data+Scientist", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Staff Research Data Scientist, DevIE Sunnyvale, CA, USA Our mission is to accelerate Google's velocity by empowering developers with AI-ready knowledge, trusted content, and scaled and targeted enablement programs. We are looking for a Data Scientist (DS) who can work in a rapidly evolving tech landscape with novel methodologies, to generate actionable insights for product teams and leaders. In this role, you will engage deeply with Google DeepMind and the core of Google's AI capabilities. You will shape the investigative directions and strategies for Gemini, revealing actionable insights into how it integrates with Google's complex software engineering ecosystem. Additionally, you will drive an understanding of how various agentic capabilities affect software and model development workflows, leveraging these insights to optimize complex systems at a Google scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process", "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" }, "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" }, "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/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": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "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.query.description_excerpt.f93b6fabae3c6e3388", "query_id": "gq_525b29d82c2d379225f9", "job_id": "73fe985c5947b3f71a28a6dec2a24c1f", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description matched \"tractable\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Staff Research Data Scientist, DevIE Sunnyvale, CA, USA Our mission is to accelerate Google's velocity by empowering developers with AI-ready knowledge, trusted content, and scaled and targeted enablement programs. We are looking for a Data Scientist (DS) who can work in a rapidly evolving tech landscape with novel methodologies, to generate actionable insights for product teams and leaders. In this role, you will engage deeply with Google DeepMind and the core of Google's AI capabilities. You will shape the investigative directions and strategies for Gemini, revealing actionable insights into how it integrates with Google's complex software engineering ecosystem. Additionally, you will drive an understanding of how various agentic capabilities affect software and model development workflows, leveraging these insights to optimize complex systems at a Google scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:73fe985c5947b3f71a28a6dec2a24c1f:description:tractable", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.870b7016d5a86261ce", "query_id": "gq_525b29d82c2d379225f9", "job_id": "73fe985c5947b3f71a28a6dec2a24c1f", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Staff Research Data Scientist, DevIE Sunnyvale, CA, USA Our mission is to accelerate Google's velocity by empowering developers with AI-ready knowledge, trusted content, and scaled and targeted enablement programs. We are looking for a Data Scientist (DS) who can work in a rapidly evolving tech landscape with novel methodologies, to generate actionable insights for product teams and leaders. In this role, you will engage deeply with Google DeepMind and the core of Google's AI capabilities. You will shape the investigative directions and strategies for Gemini, revealing actionable insights into how it integrates with Google's complex software engineering ecosystem. Additionally, you will drive an understanding of how various agentic capabilities affect software and model development workflows, leveraging these insights to optimize complex systems at a Google scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:2e373b6bd17a62395bb77b54", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.28eac7626ed57d371a", "query_id": "gq_525b29d82c2d379225f9", "job_id": "73fe985c5947b3f71a28a6dec2a24c1f", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description contains \"tractable\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Staff Research Data Scientist, DevIE Sunnyvale, CA, USA Our mission is to accelerate Google's velocity by empowering developers with AI-ready knowledge, trusted content, and scaled and targeted enablement programs. We are looking for a Data Scientist (DS) who can work in a rapidly evolving tech landscape with novel methodologies, to generate actionable insights for product teams and leaders. In this role, you will engage deeply with Google DeepMind and the core of Google's AI capabilities. You will shape the investigative directions and strategies for Gemini, revealing actionable insights into how it integrates with Google's complex software engineering ecosystem. Additionally, you will drive an understanding of how various agentic capabilities affect software and model development workflows, leveraging these insights to optimize complex systems at a Google scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process", "matched_input": "tractable", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.33697ce7d6d777ff98", "query_id": "gq_525b29d82c2d379225f9", "job_id": "73fe985c5947b3f71a28a6dec2a24c1f", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.c2af7d94c0456787df", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckb9IBlwVS4-C3EMNoXbGnANGsMtTQmUsX8fqsXLLQA9FEjsACxwdTJfUZWJ9MadssMwecUFa97bwUCIShuE90pvSa6dYX0l5_428NFTpZxEvIF--1317uqw0RCp5EA%3D%3D_V2&loc=US&title=Senior+Staff+Research+Data+Scientist", "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=CiUAL2Fckb9IBlwVS4-C3EMNoXbGnANGsMtTQmUsX8fqsXLLQA9FEjsACxwdTJfUZWJ9MadssMwecUFa97bwUCIShuE90pvSa6dYX0l5_428NFTpZxEvIF--1317uqw0RCp5EA%3D%3D_V2&loc=US&title=Senior+Staff+Research+Data+Scientist", "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=CiUAL2Fckb9IBlwVS4-C3EMNoXbGnANGsMtTQmUsX8fqsXLLQA9FEjsACxwdTJfUZWJ9MadssMwecUFa97bwUCIShuE90pvSa6dYX0l5_428NFTpZxEvIF--1317uqw0RCp5EA%3D%3D_V2&loc=US&title=Senior+Staff+Research+Data+Scientist", "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=CiUAL2Fckb9IBlwVS4-C3EMNoXbGnANGsMtTQmUsX8fqsXLLQA9FEjsACxwdTJfUZWJ9MadssMwecUFa97bwUCIShuE90pvSa6dYX0l5_428NFTpZxEvIF--1317uqw0RCp5EA%3D%3D_V2&loc=US&title=Senior+Staff+Research+Data+Scientist", "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=CiUAL2Fckb9IBlwVS4-C3EMNoXbGnANGsMtTQmUsX8fqsXLLQA9FEjsACxwdTJfUZWJ9MadssMwecUFa97bwUCIShuE90pvSa6dYX0l5_428NFTpZxEvIF--1317uqw0RCp5EA%3D%3D_V2&loc=US&title=Senior+Staff+Research+Data+Scientist", "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=CiUAL2Fckb9IBlwVS4-C3EMNoXbGnANGsMtTQmUsX8fqsXLLQA9FEjsACxwdTJfUZWJ9MadssMwecUFa97bwUCIShuE90pvSa6dYX0l5_428NFTpZxEvIF--1317uqw0RCp5EA%3D%3D_V2&loc=US&title=Senior+Staff+Research+Data+Scientist", "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=CiUAL2Fckb9IBlwVS4-C3EMNoXbGnANGsMtTQmUsX8fqsXLLQA9FEjsACxwdTJfUZWJ9MadssMwecUFa97bwUCIShuE90pvSa6dYX0l5_428NFTpZxEvIF--1317uqw0RCp5EA%3D%3D_V2&loc=US&title=Senior+Staff+Research+Data+Scientist", "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.google.com/about/careers/applications/signin?jobId=CiUAL2Fckb9IBlwVS4-C3EMNoXbGnANGsMtTQmUsX8fqsXLLQA9FEjsACxwdTJfUZWJ9MadssMwecUFa97bwUCIShuE90pvSa6dYX0l5_428NFTpZxEvIF--1317uqw0RCp5EA%3D%3D_V2&loc=US&title=Senior+Staff+Research+Data+Scientist", "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": "aef9e648c78ad0719fbeb3437bb6cb12", "title": "SHE Specialist", "employer_name": "Ecolab", "employer_slug": "ecolab", "location_text": "USA - Minnesota - Eagan", "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", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/USA---Minnesota---Eagan/SHE-Specialist_R00292263", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "SHE Specialist USA - Minnesota - Eagan posted: Posted 30+ Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.1e470568736ec93cf2", "query_id": "gq_525b29d82c2d379225f9", "job_id": "aef9e648c78ad0719fbeb3437bb6cb12", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "SHE Specialist", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:647f2ca4d1fadf72bd3f5e69", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.28f09ae871590e8d89", "query_id": "gq_525b29d82c2d379225f9", "job_id": "aef9e648c78ad0719fbeb3437bb6cb12", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:aef9e648c78ad0719fbeb3437bb6cb12:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.ac1437665f9dbdcd7e", "query_id": "gq_525b29d82c2d379225f9", "job_id": "aef9e648c78ad0719fbeb3437bb6cb12", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.d312a33f10ed6ec1b7", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/USA---Minnesota---Eagan/SHE-Specialist_R00292263", "source_values": [ "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/USA---Minnesota---Eagan/SHE-Specialist_R00292263", "source_values": [ "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/USA---Minnesota---Eagan/SHE-Specialist_R00292263", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "c4ad814239c24963b45aae29f1a30959", "title": "Applied Scientist, AWS Applied AI Solutions Core Services", "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": 142800, "salary_max": 193200, "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": 142800, "base_salary_max": 193200, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-02-26T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied Scientist, AWS Applied AI Solutions Core Services Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, we're building the future of AI-powered enterprise services across multiple domains. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions. We're developing sophisticated AI systems that address complex challenges across autonomous operations, geospatial intelligence, trust and safety, IoT services, and foundational AI platforms. Key job responsibilities * Develop and productize AI solutions that address complex technical challenges requiring novel approaches beyond off-the-shelf tools * Design and implement machine learning systems for diverse applications including video understanding, geospatial optimization, fraud detection, anomaly detection, and automation * Create scalable algorithms and models that generalize across multiple customer use cases and business problems * Conduct rigorous experimentation with state-of-the-art techniques including large language models, computer vision, federated learning, or physics-based modeling, and agentic AI systems * Collaborate with engineering teams to integrate science components into production systems with measurable customer impact * Work directly with product teams to understand requirements, frame ambiguous problems into tractable science solutions, and validate approaches through proof of concepts * Establish evaluation frameworks and best practices for measuring solution performance and business impact * Mentor other scientists and contribute to the broader scientific community through publications when appropriate A day in the life As an Applied Scientist, you'll work on challenging problems that span multiple", "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" ] }, "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/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "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": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.852b041b206373bf72", "query_id": "gq_525b29d82c2d379225f9", "job_id": "c4ad814239c24963b45aae29f1a30959", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description matched \"tractable\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Applied Scientist, AWS Applied AI Solutions Core Services Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, we're building the future of AI-powered enterprise services across multiple domains. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions. We're developing sophisticated AI systems that address complex challenges across autonomous operations, geospatial intelligence, trust and safety, IoT services, and foundational AI platforms. Key job responsibilities * Develop and productize AI solutions that address complex technical challenges requiring novel approaches beyond off-the-shelf tools * Design and implement machine learning systems for diverse applications including video understanding, geospatial optimization, fraud detection, anomaly detection, and automation * Create scalable algorithms and models that generalize across multiple customer use cases and business problems * Conduct rigorous experimentation with state-of-the-art techniques including large language models, computer vision, federated learning, or physics-based modeling, and agentic AI systems * Collaborate with engineering teams to integrate science components into production systems with measurable customer impact * Work directly with product teams to understand requirements, frame ambiguous problems into tractable science solutions, and validate approaches through proof of concepts * Establish evaluation frameworks and best practices for measuring solution performance and business impact * Mentor other scientists and contribute to the broader scientific community through publications when appropriate A day in the life As an Applied Scientist, you'll work on challenging problems that span multiple", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:c4ad814239c24963b45aae29f1a30959:description:tractable", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.ef66fc4a9ab493e6c5", "query_id": "gq_525b29d82c2d379225f9", "job_id": "c4ad814239c24963b45aae29f1a30959", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Applied Scientist, AWS Applied AI Solutions Core Services Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, we're building the future of AI-powered enterprise services across multiple domains. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions. We're developing sophisticated AI systems that address complex challenges across autonomous operations, geospatial intelligence, trust and safety, IoT services, and foundational AI platforms. Key job responsibilities * Develop and productize AI solutions that address complex technical challenges requiring novel approaches beyond off-the-shelf tools * Design and implement machine learning systems for diverse applications including video understanding, geospatial optimization, fraud detection, anomaly detection, and automation * Create scalable algorithms and models that generalize across multiple customer use cases and business problems * Conduct rigorous experimentation with state-of-the-art techniques including large language models, computer vision, federated learning, or physics-based modeling, and agentic AI systems * Collaborate with engineering teams to integrate science components into production systems with measurable customer impact * Work directly with product teams to understand requirements, frame ambiguous problems into tractable science solutions, and validate approaches through proof of concepts * Establish evaluation frameworks and best practices for measuring solution performance and business impact * Mentor other scientists and contribute to the broader scientific community through publications when appropriate A day in the life As an Applied Scientist, you'll work on challenging problems that span multiple", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:f7f106c944ab88cb796551a9", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e42e198cfa869c15fe", "query_id": "gq_525b29d82c2d379225f9", "job_id": "c4ad814239c24963b45aae29f1a30959", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description contains \"tractable\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Applied Scientist, AWS Applied AI Solutions Core Services Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, we're building the future of AI-powered enterprise services across multiple domains. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions. We're developing sophisticated AI systems that address complex challenges across autonomous operations, geospatial intelligence, trust and safety, IoT services, and foundational AI platforms. Key job responsibilities * Develop and productize AI solutions that address complex technical challenges requiring novel approaches beyond off-the-shelf tools * Design and implement machine learning systems for diverse applications including video understanding, geospatial optimization, fraud detection, anomaly detection, and automation * Create scalable algorithms and models that generalize across multiple customer use cases and business problems * Conduct rigorous experimentation with state-of-the-art techniques including large language models, computer vision, federated learning, or physics-based modeling, and agentic AI systems * Collaborate with engineering teams to integrate science components into production systems with measurable customer impact * Work directly with product teams to understand requirements, frame ambiguous problems into tractable science solutions, and validate approaches through proof of concepts * Establish evaluation frameworks and best practices for measuring solution performance and business impact * Mentor other scientists and contribute to the broader scientific community through publications when appropriate A day in the life As an Applied Scientist, you'll work on challenging problems that span multiple", "matched_input": "tractable", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.c6ff4596a20e4a4b2c", "query_id": "gq_525b29d82c2d379225f9", "job_id": "c4ad814239c24963b45aae29f1a30959", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.ba4aa5cdeb52890534", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "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/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "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/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "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/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "source_values": [ "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "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/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "fertility_family_building_benefits": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "mental_health_support": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "adoption_assistance_offered": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/3190742/applied-scientist-aws-applied-ai-solutions-core-services", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "d80ad978e3d1d57124e632890c753b10", "title": "Staff ML Engineer, Fine Tuning - Slack", "employer_name": "Slack", "employer_slug": "slack", "location_text": "3 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-29T00:00:00.000Z", "apply_url": "https://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Staff-ML-Engineer--LLM-Fine-Tuning---Slack_JR344115", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff ML Engineer, Fine Tuning - Slack 3 Locations posted: Posted 14 Days Ago", "parental_leave_weeks": 26, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/", "db_column": "parental_leave_weeks", "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.5607414951c819737d", "query_id": "gq_525b29d82c2d379225f9", "job_id": "d80ad978e3d1d57124e632890c753b10", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Staff ML Engineer, Fine Tuning - Slack", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:71179d51503a548f1714ad3f", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.1e3f67342c145a560a", "query_id": "gq_525b29d82c2d379225f9", "job_id": "d80ad978e3d1d57124e632890c753b10", "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": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:d80ad978e3d1d57124e632890c753b10:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.03f161a2c38caf965f", "query_id": "gq_525b29d82c2d379225f9", "job_id": "d80ad978e3d1d57124e632890c753b10", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.37c3f7cd24d832dc8a", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Staff-ML-Engineer--LLM-Fine-Tuning---Slack_JR344115", "source_values": [ "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Staff-ML-Engineer--LLM-Fine-Tuning---Slack_JR344115", "source_values": [ "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Staff-ML-Engineer--LLM-Fine-Tuning---Slack_JR344115", "source_values": [ "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Staff-ML-Engineer--LLM-Fine-Tuning---Slack_JR344115", "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://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Staff-ML-Engineer--LLM-Fine-Tuning---Slack_JR344115", "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": "bf1bff3baff9f54cd19f664a8fda3612", "title": "Material Coordinator*", "employer_name": "3M", "employer_slug": "3m", "location_text": "US, Kentucky, Lexington", "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": "2026-06-11T00:00:00.000Z", "apply_url": "https://3m.wd1.myworkdayjobs.com/Search/job/US-Kentucky-Lexington/Material-Coordinator-_R01164178", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Material Coordinator* US, Kentucky, Lexington posted: Posted Yesterday", "parental_leave_weeks": 10, "non_birth_parent_leave_weeks": 10, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 85, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/", "db_column": "parental_leave_weeks", "source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.a2328f037669810ca6", "query_id": "gq_525b29d82c2d379225f9", "job_id": "bf1bff3baff9f54cd19f664a8fda3612", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Material Coordinator*", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:638478345830ac099d6986b7", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.3e4f10930ae34fe4e4", "query_id": "gq_525b29d82c2d379225f9", "job_id": "bf1bff3baff9f54cd19f664a8fda3612", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:bf1bff3baff9f54cd19f664a8fda3612:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.e21c737b6cc19f0b5d", "query_id": "gq_525b29d82c2d379225f9", "job_id": "bf1bff3baff9f54cd19f664a8fda3612", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.551f39f8e2e7882b83", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/66740/000006674026000014/mmm-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://3m.wd1.myworkdayjobs.com/Search/job/US-Kentucky-Lexington/Material-Coordinator-_R01164178", "source_values": [ "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://3m.wd1.myworkdayjobs.com/Search/job/US-Kentucky-Lexington/Material-Coordinator-_R01164178", "source_values": [ "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://3m.wd1.myworkdayjobs.com/Search/job/US-Kentucky-Lexington/Material-Coordinator-_R01164178", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "03d5ec109dd06b316eb462c7a84e15bb", "title": "Quality Assurance Architect", "employer_name": "The PNC Financial Services Group, Inc.", "employer_slug": "the-pnc-financial-services-group", "location_text": "2 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T00:00:00.000Z", "apply_url": "https://pnc.wd5.myworkdayjobs.com/External/job/TX---Farmers-Branch/Quality-Assurance-Architect_R226050-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Quality Assurance Architect 2 Locations posted: Posted Yesterday", "parental_leave_weeks": 8, "non_birth_parent_leave_weeks": 8, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.pnc.com/content/dam/pnc-com/pdf/aboutpnc/CorporateResponsibilityReports/PNC_Corporate_Responsibility_Report_2023.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/713676/000071367626000020/pnc-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/713676/000071367626000020/pnc-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.pnc.com/content/dam/pnc-com/pdf/aboutpnc/CorporateResponsibilityReports/PNC_Corporate_Responsibility_Report_2023.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.pnc.com/content/dam/pnc-com/pdf/aboutpnc/CorporateResponsibilityReports/PNC_Corporate_Responsibility_Report_2023.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.pnc.com/content/dam/pnc-com/pdf/aboutpnc/CorporateResponsibilityReports/PNC_Corporate_Responsibility_Report_2023.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.pnc.com/content/dam/pnc-com/pdf/aboutpnc/CorporateResponsibilityReports/PNC_Corporate_Responsibility_Report_2023.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Finance", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.a55050674582b6c634", "query_id": "gq_525b29d82c2d379225f9", "job_id": "03d5ec109dd06b316eb462c7a84e15bb", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Quality Assurance Architect", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:7ba4b88cca48bcfd8d18235e", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.bf5de64ebe7400c492", "query_id": "gq_525b29d82c2d379225f9", "job_id": "03d5ec109dd06b316eb462c7a84e15bb", "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": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:03d5ec109dd06b316eb462c7a84e15bb:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.a5cb23030f1470cf53", "query_id": "gq_525b29d82c2d379225f9", "job_id": "03d5ec109dd06b316eb462c7a84e15bb", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.7b08d28bdca1ee5d29", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/713676/000071367626000020/pnc-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/713676/000071367626000020/pnc-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://pnc.wd5.myworkdayjobs.com/External/job/TX---Farmers-Branch/Quality-Assurance-Architect_R226050-1", "source_values": [ "https://www.pnc.com/content/dam/pnc-com/pdf/aboutpnc/CorporateResponsibilityReports/PNC_Corporate_Responsibility_Report_2023.pdf" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://pnc.wd5.myworkdayjobs.com/External/job/TX---Farmers-Branch/Quality-Assurance-Architect_R226050-1", "source_values": [ "https://www.pnc.com/content/dam/pnc-com/pdf/aboutpnc/CorporateResponsibilityReports/PNC_Corporate_Responsibility_Report_2023.pdf" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://pnc.wd5.myworkdayjobs.com/External/job/TX---Farmers-Branch/Quality-Assurance-Architect_R226050-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://pnc.wd5.myworkdayjobs.com/External/job/TX---Farmers-Branch/Quality-Assurance-Architect_R226050-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "86190982fb08fc7a9be0bb2d6cb956e1", "title": "Labor Relations Consultant", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "Munich", "country": "DE", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T00:00:00.000Z", "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Munich/Labor-Relations-Consultant_R169684", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Labor Relations Consultant Munich posted: Posted Yesterday", "parental_leave_weeks": 16, "non_birth_parent_leave_weeks": 16, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.3814413ee038157e48", "query_id": "gq_525b29d82c2d379225f9", "job_id": "86190982fb08fc7a9be0bb2d6cb956e1", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Labor Relations Consultant", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3dd439c43da813eddedb47c8", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.65fc625d4bd7be1429", "query_id": "gq_525b29d82c2d379225f9", "job_id": "86190982fb08fc7a9be0bb2d6cb956e1", "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": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:86190982fb08fc7a9be0bb2d6cb956e1:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.844b13b73575d536ae", "query_id": "gq_525b29d82c2d379225f9", "job_id": "86190982fb08fc7a9be0bb2d6cb956e1", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.2646fb0ce39a26728e", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Munich/Labor-Relations-Consultant_R169684", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Munich/Labor-Relations-Consultant_R169684", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Munich/Labor-Relations-Consultant_R169684", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Munich/Labor-Relations-Consultant_R169684", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "0d205ed6a3f74ec18f1c75f57cab3a81", "title": "Senior Applied Scientist, Selling Partner Support Engagement", "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": 167100, "salary_max": 226100, "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": 167100, "base_salary_max": 226100, "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": "2026-06-08T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10442696/senior-applied-scientist-selling-partner-support-engagement", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for a Senior Applied Scientist who wants to work at the intersection of reinforcement learning, agentic architectures, and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine", "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" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "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": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.abffec5dbe8504ac1b", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0d205ed6a3f74ec18f1c75f57cab3a81", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description matched \"tractable\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for a Senior Applied Scientist who wants to work at the intersection of reinforcement learning, agentic architectures, and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:0d205ed6a3f74ec18f1c75f57cab3a81:description:tractable", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.description_excerpt.884d719b0c07d6db64", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0d205ed6a3f74ec18f1c75f57cab3a81", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for a Senior Applied Scientist who wants to work at the intersection of reinforcement learning, agentic architectures, and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0333983dc0c5bc16f1b661ec", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.26fd1e2ae2cdacfafa", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0d205ed6a3f74ec18f1c75f57cab3a81", "signal_type": "query_match", "display_text": "Description: \"tractable\"", "tooltip": "Description contains \"tractable\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Applied Scientist, Selling Partner Support Engagement Seattle, Washington, USA Amazon's Selling Partner Support handles tens of millions of contacts annually worldwide. The Titans Science team is transforming this experience by building AI agents that autonomously resolve seller issues, learn from every interaction, and continuously improve with minimal human intervention. These agents reason, remember, and adapt - from understanding the seller's context and selecting the right solution, to routing contacts optimally, automating resolution end-to-end, and augmenting associates with AI when human judgment is needed. We do this in deep partnership with multiple engineering and product partners. We are looking for a Senior Applied Scientist who wants to work at the intersection of reinforcement learning, agentic architectures, and large-scale production systems. You will be directly connected to the problems sellers face every day, translating real customer pain into science solutions that operate at massive scale. You will frame ambiguous business challenges as tractable ML problems to shipping systems that measurably improve millions of seller interactions. Key job responsibilities - Own end-to-end research and development of RL-based agent improvement systems - from problem formulation through production deployment and impact measurement. - Design novel approaches to preference learning, reward modeling, and policy optimization in the context of conversational agents operating over real-world tools and APIs. - Build and maintain evaluation frameworks that measure agent quality across multiple dimensions: helpfulness, correctness, safety, and alignment with operational standards. - Collaborate with a team of scientists that work on forefront of Natural Language Understanding, Optimization, Machine", "matched_input": "tractable", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.002a9607db9c044f2a", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0d205ed6a3f74ec18f1c75f57cab3a81", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.bff3ea85a45fd353b6", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "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/10442696/senior-applied-scientist-selling-partner-support-engagement", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "13695df450a1c47ebcf36fa68babc571", "title": "Vice President, Finance", "employer_name": "Comcast Corporation", "employer_slug": "comcast", "location_text": "2 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T00:00:00.000Z", "apply_url": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/WA---Everett-900-132nd-St-Sw/Vice-President--Finance_R439392", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Vice President, Finance 2 Locations posted: Posted Today", "parental_leave_weeks": 4, "non_birth_parent_leave_weeks": 4, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 73, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1166691/000162828026004994/cmcsa-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1166691/000162828026004994/cmcsa-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022", "db_column": "parental_leave_weeks", "source_url": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "finance", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Media", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.be29fb47ef55691f2a", "query_id": "gq_525b29d82c2d379225f9", "job_id": "13695df450a1c47ebcf36fa68babc571", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Vice President, Finance", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:6b1ae57b3cbc95df8a3c47cf", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.3619ca860153ec162a", "query_id": "gq_525b29d82c2d379225f9", "job_id": "13695df450a1c47ebcf36fa68babc571", "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": "finance", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:13695df450a1c47ebcf36fa68babc571:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.eec622e1f0ba7e4e40", "query_id": "gq_525b29d82c2d379225f9", "job_id": "13695df450a1c47ebcf36fa68babc571", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.68523a13089c645cde", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1166691/000162828026004994/cmcsa-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1166691/000162828026004994/cmcsa-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/WA---Everett-900-132nd-St-Sw/Vice-President--Finance_R439392", "source_values": [ "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/WA---Everett-900-132nd-St-Sw/Vice-President--Finance_R439392", "source_values": [ "https://corporate.comcast.com/stories/comcast-nbcuniversal-top-5-best-workplaces-parents-2022" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/WA---Everett-900-132nd-St-Sw/Vice-President--Finance_R439392", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/WA---Everett-900-132nd-St-Sw/Vice-President--Finance_R439392", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": null } } }, { "id": "0dbb09b6b24498dc0f1fbc356158e4c5", "title": "District Representative III - Water", "employer_name": "Ecolab", "employer_slug": "ecolab", "location_text": "THA - Bangkok - Bangkok", "country": "TH", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/THA---Bangkok---Bangkok/District-Representative-III---Water_R00290894", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "District Representative III - Water THA - Bangkok - Bangkok posted: Posted 30+ Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": "unknown", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.985a3864cb19227e09", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0dbb09b6b24498dc0f1fbc356158e4c5", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "District Representative III - Water", "matched_input": "tractable", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:7c388543f41e9b91fe19aaf1", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.role_function.58f82141148eada0b8", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0dbb09b6b24498dc0f1fbc356158e4c5", "signal_type": "query_match", "display_text": "Role: semantic match", "tooltip": "Role provided semantic evidence for your search intent.", "source_binding": "vector_semantic_evidence", "source_field": "role_function", "source_value": "other", "matched_input": "tractable", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_525b29d82c2d379225f9:0dbb09b6b24498dc0f1fbc356158e4c5:vector", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 74, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.beb972fee5a14b5ec4", "query_id": "gq_525b29d82c2d379225f9", "job_id": "0dbb09b6b24498dc0f1fbc356158e4c5", "signal_type": "filter_match", "display_text": "Source-backed benefits", "tooltip": "This result passed the Source-backed benefits filter.", "source_binding": "row_trust_evidence", "source_field": "benefit_verified", "source_value": true, "matched_input": true, "active_filter_key": "verified_benefits_only", "active_filter_value": true, "derivation_source": "candidate_result.applied_filters", "candidate_evidence_id": "sig.applied.verified_benefits_only.bb327f79f2a60ef594", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/31462/000110465926018357/ecl-20251231x10k.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/THA---Bangkok---Bangkok/District-Representative-III---Water_R00290894", "source_values": [ "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/THA---Bangkok---Bangkok/District-Representative-III---Water_R00290894", "source_values": [ "https://www.ecolab.com/-/media/Widen/Sustainability/Corporate-Sustainability-Report/2023/2023-Ecolab-Growth--Impact-Reportpdf.pdf" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://ecolab.wd1.myworkdayjobs.com/Ecolab_External/job/THA---Bangkok---Bangkok/District-Representative-III---Water_R00290894", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } } ], "total": 7, "page": 1, "per_page": 24, "applied_filters": { "q": "Tractable", "quality_floor": "all", "verified_benefits_only": true }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "all", "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": [ "tractable" ], "active_filter_keys": [ "verified_benefits_only" ], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": { "query_context": { "query_id": "430521c0-6403-4ed2-8dce-2389b42cfbbf", "issued_at": "2026-08-14T03:03:04.454Z", "route": "/jobs", "page": 1, "per_page": 24, "total_results": 7, "sort": "relevance", "ranking_policy": "hybrid_rrf_rerank", "ranking_policy_version": "inv382.jobs.search.v2", "query_hash": "hmac_sha256:N9b4yRFvOpNt4t0fKN700q0iDy5NsPxHPpfKDT2TsUo", "filter_hash": "hmac_sha256:MrGrSQHGslm9r8MTkyG3eyTA_utMjWvsyn9LWvJ3xXs", "query_features": { "has_q": true, "q_term_count": 1, "q_length_bucket": "1_15", "q_pii_redacted": false, "state_count": 0, "benefit_filters": [ "verified_benefits_only" ], "quality_floor": "all" }, "exposures": [ { "result_id": "3f5f553296c85feee6be2be33899187b", "position": 1, "page_position": 1, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3561240242756609, "rrf_score": 0.01639344262295082, "rerank_score": -11.387173652648926, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 64, "quality_score": 35 } }, { "result_id": "04e7baac736485122e3944d24edab0de", "position": 2, "page_position": 2, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3723096216640145, "rrf_score": 0.013888888888888888, "rerank_score": -11.447250366210938, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 35 } }, { "result_id": "6d5c6ce252fdbd81208eba5ca3c137c2", "position": 3, "page_position": 3, "retrieval_features": { "bm25_score": -7.0009379386901855, "vector_score": 0, "rrf_score": 0.015151515151515152, "rerank_score": -11.471288681030273, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 66, "quality_score": 45 } }, { "result_id": "7846fb289c8ab67dba3e4fe47cad757f", "position": 4, "page_position": 4, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3722920639689007, "rrf_score": 0.014285714285714285, "rerank_score": -11.491456031799316, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 64, "quality_score": 35 } }, { "result_id": "788118ed84ef900bf2922267d6581b06", "position": 5, "page_position": 5, "retrieval_features": { "bm25_score": 0, "vector_score": 0.374166469996168, "rrf_score": 0.01282051282051282, "rerank_score": -11.513297080993652, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 64, "quality_score": 35 } }, { "result_id": "f00c392db5d70458d87b7245d1d5500a", "position": 6, "page_position": 6, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3643589209211169, "rrf_score": 0.015625, "rerank_score": -11.515144348144531, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 35 } }, { "result_id": "bf78a5f75bf50f308fef2a3efb1c6f3e", "position": 7, "page_position": 7, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3684642126698554, "rrf_score": 0.015151515151515152, "rerank_score": -11.515961647033691, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 69, "quality_score": 35 } }, { "result_id": "9b473368bacf41ff1b22a422d33b0054", "position": 8, "page_position": 8, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3760317378053585, "rrf_score": 0.0125, "rerank_score": -11.523585319519043, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 35 } }, { "result_id": "0886be78abc05bc6d3f4e5bb00040bd6", "position": 9, "page_position": 9, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3733185938989694, "rrf_score": 0.013157894736842105, "rerank_score": -11.531695365905762, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 67, "quality_score": 35 } }, { "result_id": "3d1a1f55a45803445bb80691bdb2bec7", "position": 10, "page_position": 10, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3676347544084413, "rrf_score": 0.015384615384615385, "rerank_score": -11.533504486083984, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 35 } }, { "result_id": "617e9f7bf7d5dbeb23acedbb729aefab", "position": 11, "page_position": 11, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3695123415894712, "rrf_score": 0.014925373134328358, "rerank_score": -11.544764518737793, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 35 } }, { "result_id": "ebeb12532febf145247f956f2fc97bdc", "position": 12, "page_position": 12, "retrieval_features": { "bm25_score": 0, "vector_score": 0.37566463278724627, "rrf_score": 0.012658227848101266, "rerank_score": -11.568511009216309, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 87, "quality_score": 35 } }, { "result_id": "98f2246bf50d6788a8fef5efef841c69", "position": 13, "page_position": 13, "retrieval_features": { "bm25_score": -7.340993881225586, "vector_score": 0, "rrf_score": 0.015873015873015872, "rerank_score": -11.57422924041748, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 67, "quality_score": 55 } }, { "result_id": "8b45e0d6a5e9b7f611c627d9c3d000bf", "position": 14, "page_position": 14, "retrieval_features": { "bm25_score": 0, "vector_score": 0.36001036644012796, "rrf_score": 0.015873015873015872, "rerank_score": -11.578041076660156, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 64, "quality_score": 35 } }, { "result_id": "73fe985c5947b3f71a28a6dec2a24c1f", "position": 15, "page_position": 15, "retrieval_features": { "bm25_score": -7.340993881225586, "vector_score": 0, "rrf_score": 0.016129032258064516, "rerank_score": -11.579266548156738, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 69, "quality_score": 55 } }, { "result_id": "aef9e648c78ad0719fbeb3437bb6cb12", "position": 16, "page_position": 16, "retrieval_features": { "bm25_score": 0, "vector_score": 0.37230696164646604, "rrf_score": 0.014084507042253521, "rerank_score": -11.588387489318848, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 35 } }, { "result_id": "c4ad814239c24963b45aae29f1a30959", "position": 17, "page_position": 17, "retrieval_features": { "bm25_score": -7.0009379386901855, "vector_score": 0, "rrf_score": 0.014925373134328358, "rerank_score": -11.589340209960938, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 169, "quality_score": 55 } }, { "result_id": "d80ad978e3d1d57124e632890c753b10", "position": 18, "page_position": 18, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3762151188786268, "rrf_score": 0.012345679012345678, "rerank_score": -11.589554786682129, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 77, "quality_score": 35 } }, { "result_id": "bf1bff3baff9f54cd19f664a8fda3612", "position": 19, "page_position": 19, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3707142880771839, "rrf_score": 0.014705882352941176, "rerank_score": -11.590585708618164, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 64, "quality_score": 35 } }, { "result_id": "03d5ec109dd06b316eb462c7a84e15bb", "position": 20, "page_position": 20, "retrieval_features": { "bm25_score": 0, "vector_score": 0.37649137167555413, "rrf_score": 0.012195121951219513, "rerank_score": -11.591791152954102, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 64, "quality_score": 35 } }, { "result_id": "86190982fb08fc7a9be0bb2d6cb956e1", "position": 21, "page_position": 21, "retrieval_features": { "bm25_score": 0, "vector_score": 0.35882304188081715, "rrf_score": 0.016129032258064516, "rerank_score": -11.592958450317383, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 64, "quality_score": 35 } }, { "result_id": "0d205ed6a3f74ec18f1c75f57cab3a81", "position": 22, "page_position": 22, "retrieval_features": { "bm25_score": -7.0009379386901855, "vector_score": 0, "rrf_score": 0.015384615384615385, "rerank_score": -11.596420288085938, "text_match_title": false, "text_match_employer": false, "role_match": false, "benefit_verified": true, "salary_disclosed": true, "posted_age_days": 67, "quality_score": 55 } }, { "result_id": "13695df450a1c47ebcf36fa68babc571", "position": 23, "page_position": 23, "retrieval_features": { "bm25_score": 0, "vector_score": 0.37191412961227055, "rrf_score": 0.014492753623188406, "rerank_score": -11.599472999572754, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 63, "quality_score": 35 } }, { "result_id": "0dbb09b6b24498dc0f1fbc356158e4c5", "position": 24, "page_position": 24, "retrieval_features": { "bm25_score": 0, "vector_score": 0.3765682988336173, "rrf_score": 0.012048192771084338, "rerank_score": -11.60571575164795, "text_match_title": true, "text_match_employer": false, "role_match": true, "benefit_verified": true, "salary_disclosed": false, "posted_age_days": 94, "quality_score": 35 } } ] }, "context_signature": "VBuV0ACn8OdlsodfjzS_Xzu4KK_rxvdRBrQA-xSvDjM", "event_token": "VBuV0ACn8OdlsodfjzS_Xzu4KK_rxvdRBrQA-xSvDjM" } }