{ "results": [ { "id": "d0d581c98dd60759a3b2dff01dbc8982", "title": "Director, Thought Leader Liaison (Neuro)", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "Remote - United States", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Director--Thought-Leader-Liaison--Neuro-_R47711", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Director, Thought Leader Liaison (Neuro) Remote - United States posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.a46e49996c3962ec0f", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d0d581c98dd60759a3b2dff01dbc8982", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Director, Thought Leader Liaison (Neuro) Remote - United States posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:d0d581c98dd60759a3b2dff01dbc8982:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.594e7de6552c847408", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d0d581c98dd60759a3b2dff01dbc8982", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Director, Thought Leader Liaison (Neuro)", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:d0d581c98dd60759a3b2dff01dbc8982:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.0980c7df04ea6a8aed", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d0d581c98dd60759a3b2dff01dbc8982", "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": "Director, Thought Leader Liaison (Neuro)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:d272a1d2d4caa074b61d6473", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.9e2ed4b037e986f0c0", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d0d581c98dd60759a3b2dff01dbc8982", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Director, Thought Leader Liaison (Neuro)", "matched_input": "thought", "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.760b19865884c57e7b", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d0d581c98dd60759a3b2dff01dbc8982", "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.d1f3b45d9aeb12edb4", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Director--Thought-Leader-Liaison--Neuro-_R47711", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Director--Thought-Leader-Liaison--Neuro-_R47711", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Director--Thought-Leader-Liaison--Neuro-_R47711", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Director--Thought-Leader-Liaison--Neuro-_R47711", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Director--Thought-Leader-Liaison--Neuro-_R47711", "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": "0aff6fe9066f98bd64738785f290344e", "title": "Associate Director Thought Leader Liaison Oncology (NMSC) -Northeast & Great Lakes Region", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "Remote - United States", "country": "US", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Associate-Director-Thought-Leader-Liaison-Oncology--NMSC---Northeast---Great-Lakes-Region_R47762", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director Thought Leader Liaison Oncology (NMSC) -Northeast & Great Lakes Region Remote - United States posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 97, "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.15ec9ba2450223679e", "query_id": "gq_2fef1c75767c6f126121", "job_id": "0aff6fe9066f98bd64738785f290344e", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director Thought Leader Liaison Oncology (NMSC) -Northeast & Great Lakes Region Remote - United States posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:0aff6fe9066f98bd64738785f290344e:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.8ec843b4beb1f6c4ba", "query_id": "gq_2fef1c75767c6f126121", "job_id": "0aff6fe9066f98bd64738785f290344e", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director Thought Leader Liaison Oncology (NMSC) -Northeast & Great Lakes Region", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:0aff6fe9066f98bd64738785f290344e:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.5f3939a02104b0c388", "query_id": "gq_2fef1c75767c6f126121", "job_id": "0aff6fe9066f98bd64738785f290344e", "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": "Associate Director Thought Leader Liaison Oncology (NMSC) -Northeast & Great Lakes Region", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:59ed5e024a2213110dae690a", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.d2a879e578b8e189e0", "query_id": "gq_2fef1c75767c6f126121", "job_id": "0aff6fe9066f98bd64738785f290344e", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director Thought Leader Liaison Oncology (NMSC) -Northeast & Great Lakes Region", "matched_input": "thought", "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.663f379ecc564b60b1", "query_id": "gq_2fef1c75767c6f126121", "job_id": "0aff6fe9066f98bd64738785f290344e", "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.9869ea913dd9442a6c", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Associate-Director-Thought-Leader-Liaison-Oncology--NMSC---Northeast---Great-Lakes-Region_R47762", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Associate-Director-Thought-Leader-Liaison-Oncology--NMSC---Northeast---Great-Lakes-Region_R47762", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Associate-Director-Thought-Leader-Liaison-Oncology--NMSC---Northeast---Great-Lakes-Region_R47762", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Associate-Director-Thought-Leader-Liaison-Oncology--NMSC---Northeast---Great-Lakes-Region_R47762", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---United-States/Associate-Director-Thought-Leader-Liaison-Oncology--NMSC---Northeast---Great-Lakes-Region_R47762", "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": "d9aec2230a8542f0965881201633a346", "title": "Associate Director, Thought Leader Liaison - Neurology (West)", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "3 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---California/Associate-Director--Thought-Leader-Liaison----Neurology--West-_R48120", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - Neurology (West) 3 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.b6247d4bee551a7418", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d9aec2230a8542f0965881201633a346", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - Neurology (West) 3 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:d9aec2230a8542f0965881201633a346:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.a5e036bc51f7f3d1bc", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d9aec2230a8542f0965881201633a346", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (West)", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:d9aec2230a8542f0965881201633a346:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.c90028302bf46b5b15", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d9aec2230a8542f0965881201633a346", "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": "Associate Director, Thought Leader Liaison - Neurology (West)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:90bf06ebe8405e302cdee5b5", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.cdd27c1614f0f79fe6", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d9aec2230a8542f0965881201633a346", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (West)", "matched_input": "thought", "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.02575c7be74cfd2e40", "query_id": "gq_2fef1c75767c6f126121", "job_id": "d9aec2230a8542f0965881201633a346", "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.d3007d0c97fb58c3fa", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---California/Associate-Director--Thought-Leader-Liaison----Neurology--West-_R48120", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---California/Associate-Director--Thought-Leader-Liaison----Neurology--West-_R48120", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---California/Associate-Director--Thought-Leader-Liaison----Neurology--West-_R48120", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---California/Associate-Director--Thought-Leader-Liaison----Neurology--West-_R48120", "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": "5fb3b4e88adfb703fd3abc9fb1e902f3", "title": "Associate Director, Thought Leader Liaison - Neurology (Southeast)", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "3 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Florida/Associate-Director--Thought-Leader-Liaison----Neurology--Southeast-_R48123", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - Neurology (Southeast) 3 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.23d1db0d8a773c6d0b", "query_id": "gq_2fef1c75767c6f126121", "job_id": "5fb3b4e88adfb703fd3abc9fb1e902f3", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Southeast) 3 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:5fb3b4e88adfb703fd3abc9fb1e902f3:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.bdcf394f5cfe1a6ad3", "query_id": "gq_2fef1c75767c6f126121", "job_id": "5fb3b4e88adfb703fd3abc9fb1e902f3", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Southeast)", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:5fb3b4e88adfb703fd3abc9fb1e902f3:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.97a2e27195c9735188", "query_id": "gq_2fef1c75767c6f126121", "job_id": "5fb3b4e88adfb703fd3abc9fb1e902f3", "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": "Associate Director, Thought Leader Liaison - Neurology (Southeast)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:f1ad12879f1a98c9bab88251", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.847551c2613b7ec291", "query_id": "gq_2fef1c75767c6f126121", "job_id": "5fb3b4e88adfb703fd3abc9fb1e902f3", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Southeast)", "matched_input": "thought", "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.8624d0adf4dbb2df42", "query_id": "gq_2fef1c75767c6f126121", "job_id": "5fb3b4e88adfb703fd3abc9fb1e902f3", "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.04cf480eca681b3c76", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Florida/Associate-Director--Thought-Leader-Liaison----Neurology--Southeast-_R48123", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Florida/Associate-Director--Thought-Leader-Liaison----Neurology--Southeast-_R48123", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Florida/Associate-Director--Thought-Leader-Liaison----Neurology--Southeast-_R48123", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Florida/Associate-Director--Thought-Leader-Liaison----Neurology--Southeast-_R48123", "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": "65e99f217d28c339cdc9b3d32211f1c0", "title": "Associate Director, Thought Leader Liaison - Neurology (Mid-South)", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "4 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": "2026-06-08T00:00:00.000Z", "apply_url": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---North-Carolina/Associate-Director--Thought-Leader-Liaison----Neurology--Mid-South-_R48124", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - Neurology (Mid-South) 4 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.fe43720cbe0594de81", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65e99f217d28c339cdc9b3d32211f1c0", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Mid-South) 4 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:65e99f217d28c339cdc9b3d32211f1c0:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.2c7cf9f0cbf0c3da11", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65e99f217d28c339cdc9b3d32211f1c0", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Mid-South)", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:65e99f217d28c339cdc9b3d32211f1c0:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.2230601c08937f7f7b", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65e99f217d28c339cdc9b3d32211f1c0", "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": "Associate Director, Thought Leader Liaison - Neurology (Mid-South)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:cda94459113003e8b7e346d6", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.34464ed9dc07acd920", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65e99f217d28c339cdc9b3d32211f1c0", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Mid-South)", "matched_input": "thought", "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.5af20ddf7af8bde40f", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65e99f217d28c339cdc9b3d32211f1c0", "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.5c27e4462a54b5baa2", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---North-Carolina/Associate-Director--Thought-Leader-Liaison----Neurology--Mid-South-_R48124", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---North-Carolina/Associate-Director--Thought-Leader-Liaison----Neurology--Mid-South-_R48124", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---North-Carolina/Associate-Director--Thought-Leader-Liaison----Neurology--Mid-South-_R48124", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---North-Carolina/Associate-Director--Thought-Leader-Liaison----Neurology--Mid-South-_R48124", "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": "9fd01bf30c6ffb86be5f1af33f904636", "title": "Associate Director, Thought Leader Liaison - Neurology (NY Metro)", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "2 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T00:00:00.000Z", "apply_url": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---New-York/Associate-Director--Thought-Leader-Liaison----Neurology--NY--NY-_R48118-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - Neurology (NY Metro) 2 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.0f135d946e1c64b116", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9fd01bf30c6ffb86be5f1af33f904636", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - Neurology (NY Metro) 2 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:9fd01bf30c6ffb86be5f1af33f904636:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.554c6af592b9aa67f3", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9fd01bf30c6ffb86be5f1af33f904636", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (NY Metro)", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:9fd01bf30c6ffb86be5f1af33f904636:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.53c0c117de2b4c73fe", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9fd01bf30c6ffb86be5f1af33f904636", "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": "Associate Director, Thought Leader Liaison - Neurology (NY Metro)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:631914b08f067e790569a2ea", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.624b82a0568106b616", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9fd01bf30c6ffb86be5f1af33f904636", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (NY Metro)", "matched_input": "thought", "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.ef4245ca6ef763b819", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9fd01bf30c6ffb86be5f1af33f904636", "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.5b059f9a9baf33a769", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---New-York/Associate-Director--Thought-Leader-Liaison----Neurology--NY--NY-_R48118-1", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---New-York/Associate-Director--Thought-Leader-Liaison----Neurology--NY--NY-_R48118-1", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---New-York/Associate-Director--Thought-Leader-Liaison----Neurology--NY--NY-_R48118-1", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---New-York/Associate-Director--Thought-Leader-Liaison----Neurology--NY--NY-_R48118-1", "source_values": [ "rule" ], "checked_at": null }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - Wikidata", "source_label": "Wikidata", "href": null, "source_values": [ "wikidata_sparql_industry" ], "checked_at": null } } }, { "id": "4271a693c2aedd4885844b3bb88ea350", "title": "Associate Director, Thought Leader Liaison - Neurology (Mountain West)", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "8 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": "2026-06-08T00:00:00.000Z", "apply_url": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Minnesota/Associate-Director--Thought-Leader-Liaison----Neurology--Mountain-West-_R48122", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - Neurology (Mountain West) 8 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.6e5bc08251a4748956", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4271a693c2aedd4885844b3bb88ea350", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Mountain West) 8 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:4271a693c2aedd4885844b3bb88ea350:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.df7501c217d514a819", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4271a693c2aedd4885844b3bb88ea350", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Mountain West)", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:4271a693c2aedd4885844b3bb88ea350:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.315022aff45c89958b", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4271a693c2aedd4885844b3bb88ea350", "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": "Associate Director, Thought Leader Liaison - Neurology (Mountain West)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:af24046647bc6ff8b0a3f170", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.dee4732d7b6ed6b2cf", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4271a693c2aedd4885844b3bb88ea350", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Mountain West)", "matched_input": "thought", "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.146e6b439d62e7097d", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4271a693c2aedd4885844b3bb88ea350", "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.59a305155a173a7329", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Minnesota/Associate-Director--Thought-Leader-Liaison----Neurology--Mountain-West-_R48122", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Minnesota/Associate-Director--Thought-Leader-Liaison----Neurology--Mountain-West-_R48122", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Minnesota/Associate-Director--Thought-Leader-Liaison----Neurology--Mountain-West-_R48122", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Minnesota/Associate-Director--Thought-Leader-Liaison----Neurology--Mountain-West-_R48122", "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": "646f9fb528ef3735e85c773854fc3e6f", "title": "Associate Director, Thought Leader Liaison - Neurology (Great Lakes)", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "5 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": "2026-06-08T00:00:00.000Z", "apply_url": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison----Neurology--Great-Lakes-_R48119", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - Neurology (Great Lakes) 5 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.6089594c0848ec9c3a", "query_id": "gq_2fef1c75767c6f126121", "job_id": "646f9fb528ef3735e85c773854fc3e6f", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Great Lakes) 5 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:646f9fb528ef3735e85c773854fc3e6f:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.ab48deb5dddc68646a", "query_id": "gq_2fef1c75767c6f126121", "job_id": "646f9fb528ef3735e85c773854fc3e6f", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Great Lakes)", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:646f9fb528ef3735e85c773854fc3e6f:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.f9fc46aee163d5577e", "query_id": "gq_2fef1c75767c6f126121", "job_id": "646f9fb528ef3735e85c773854fc3e6f", "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": "Associate Director, Thought Leader Liaison - Neurology (Great Lakes)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:5ab3726287922d4c5d63c90e", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.c60683a8a8e120573a", "query_id": "gq_2fef1c75767c6f126121", "job_id": "646f9fb528ef3735e85c773854fc3e6f", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Great Lakes)", "matched_input": "thought", "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.d8c89d834cfda57962", "query_id": "gq_2fef1c75767c6f126121", "job_id": "646f9fb528ef3735e85c773854fc3e6f", "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.cf17f3f4a2e3973eb9", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison----Neurology--Great-Lakes-_R48119", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison----Neurology--Great-Lakes-_R48119", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison----Neurology--Great-Lakes-_R48119", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison----Neurology--Great-Lakes-_R48119", "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": "6453b0f2fcb47eb6f0543510b586c816", "title": "Associate Director, Thought Leader Liaison - Neurology (South Central)", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "3 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Texas/Associate-Director--Thought-Leader-Liaison----Neurology--South-Central-_R48121", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - Neurology (South Central) 3 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.84ee3efcd036bdc45c", "query_id": "gq_2fef1c75767c6f126121", "job_id": "6453b0f2fcb47eb6f0543510b586c816", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - Neurology (South Central) 3 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:6453b0f2fcb47eb6f0543510b586c816:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.e1a7146840358f5f0a", "query_id": "gq_2fef1c75767c6f126121", "job_id": "6453b0f2fcb47eb6f0543510b586c816", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (South Central)", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:6453b0f2fcb47eb6f0543510b586c816:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.67e28bd13d4c14f476", "query_id": "gq_2fef1c75767c6f126121", "job_id": "6453b0f2fcb47eb6f0543510b586c816", "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": "Associate Director, Thought Leader Liaison - Neurology (South Central)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:ee800842aa7363905d8c47c5", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.8aec058e473fcd5186", "query_id": "gq_2fef1c75767c6f126121", "job_id": "6453b0f2fcb47eb6f0543510b586c816", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (South Central)", "matched_input": "thought", "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.7a0dd250e3a2fb7be7", "query_id": "gq_2fef1c75767c6f126121", "job_id": "6453b0f2fcb47eb6f0543510b586c816", "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.ed84b94cfe1b6b7180", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Texas/Associate-Director--Thought-Leader-Liaison----Neurology--South-Central-_R48121", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Texas/Associate-Director--Thought-Leader-Liaison----Neurology--South-Central-_R48121", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Texas/Associate-Director--Thought-Leader-Liaison----Neurology--South-Central-_R48121", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Texas/Associate-Director--Thought-Leader-Liaison----Neurology--South-Central-_R48121", "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": "4a7b1ba96840e6c3a8e767415ac9f3f9", "title": "Associate Director, Thought Leader Liaison - Neurology (Northeast)", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "6 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Massachusetts/Associate-Director--Thought-Leader-Liaison----Neurology--Boston--MA-_R48117", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - Neurology (Northeast) 6 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.94bf9cb93201b20db5", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4a7b1ba96840e6c3a8e767415ac9f3f9", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Northeast) 6 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:4a7b1ba96840e6c3a8e767415ac9f3f9:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.035bb549b6b4a08062", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4a7b1ba96840e6c3a8e767415ac9f3f9", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Northeast)", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:4a7b1ba96840e6c3a8e767415ac9f3f9:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.5a4f7967f2b6d5c530", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4a7b1ba96840e6c3a8e767415ac9f3f9", "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": "Associate Director, Thought Leader Liaison - Neurology (Northeast)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9beb00d67142b839b929788b", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.64420e449166dcf77f", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4a7b1ba96840e6c3a8e767415ac9f3f9", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Neurology (Northeast)", "matched_input": "thought", "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.ed69c911871421f92b", "query_id": "gq_2fef1c75767c6f126121", "job_id": "4a7b1ba96840e6c3a8e767415ac9f3f9", "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.11bd274734a80b9340", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Massachusetts/Associate-Director--Thought-Leader-Liaison----Neurology--Boston--MA-_R48117", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Massachusetts/Associate-Director--Thought-Leader-Liaison----Neurology--Boston--MA-_R48117", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Massachusetts/Associate-Director--Thought-Leader-Liaison----Neurology--Boston--MA-_R48117", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Massachusetts/Associate-Director--Thought-Leader-Liaison----Neurology--Boston--MA-_R48117", "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": "e32d417eac9aea79e058153399eb331e", "title": "Machine Learning Engineer, Amazon Tablets", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Madrid, Community of Madrid, ESP", "country": "ES", "employment_type": "internship", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": true, "childcare_subsidy": true, "fertility_family_building_benefits": true, "adoption_assistance_offered": true, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-14T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10420348/machine-learning-engineer-amazon-tablets", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Machine Learning Engineer, Amazon Tablets Madrid, Community of Madrid, ESP At Amazon Devices & Services, we believe that ideas can change the world. We build the technology that becomes part of everyday life and connects millions of people in ways never thought possible. We engineer high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced game-changing devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Join us as a Software Development Engineer to help us imagine the future, and let's make it reality together. The Amazon Tablets Core Machine Learning team seeks to hire an ML Engineer who has a background in the design and development of scalable AI/ML systems, experience deploying models into production to serve millions of customers, a deep passion for building AI-driven products, and a proven track record of executing complex projects and delivering high business impact. You will be an early member of the team -- together with your team members, you will play a key role in establishing a strong foundation for customer-focused machine learning on the team. This role will provide you with the opportunity to drive impact at Amazon-scale, as well as work closely with with ML scientists in a cross-functional organization. The long-term vision of the team is to make Amazon devices effortlessly engaging for all our customers. We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "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" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.1a589f425b9cf55b20", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e32d417eac9aea79e058153399eb331e", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Machine Learning Engineer, Amazon Tablets Madrid, Community of Madrid, ESP At Amazon Devices & Services, we believe that ideas can change the world. We build the technology that becomes part of everyday life and connects millions of people in ways never thought possible. We engineer high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced game-changing devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Join us as a Software Development Engineer to help us imagine the future, and let's make it reality together. The Amazon Tablets Core Machine Learning team seeks to hire an ML Engineer who has a background in the design and development of scalable AI/ML systems, experience deploying models into production to serve millions of customers, a deep passion for building AI-driven products, and a proven track record of executing complex projects and delivering high business impact. You will be an early member of the team -- together with your team members, you will play a key role in establishing a strong foundation for customer-focused machine learning on the team. This role will provide you with the opportunity to drive impact at Amazon-scale, as well as work closely with with ML scientists in a cross-functional organization. The long-term vision of the team is to make Amazon devices effortlessly engaging for all our customers. We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:e32d417eac9aea79e058153399eb331e:description:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.849719a88c395085a6", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e32d417eac9aea79e058153399eb331e", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Machine Learning Engineer, Amazon Tablets Madrid, Community of Madrid, ESP At Amazon Devices & Services, we believe that ideas can change the world. We build the technology that becomes part of everyday life and connects millions of people in ways never thought possible. We engineer high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced game-changing devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Join us as a Software Development Engineer to help us imagine the future, and let's make it reality together. The Amazon Tablets Core Machine Learning team seeks to hire an ML Engineer who has a background in the design and development of scalable AI/ML systems, experience deploying models into production to serve millions of customers, a deep passion for building AI-driven products, and a proven track record of executing complex projects and delivering high business impact. You will be an early member of the team -- together with your team members, you will play a key role in establishing a strong foundation for customer-focused machine learning on the team. This role will provide you with the opportunity to drive impact at Amazon-scale, as well as work closely with with ML scientists in a cross-functional organization. The long-term vision of the team is to make Amazon devices effortlessly engaging for all our customers. We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:e32d417eac9aea79e058153399eb331e:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.a2675b3ebbac281049", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e32d417eac9aea79e058153399eb331e", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Machine Learning Engineer, Amazon Tablets", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:e32d417eac9aea79e058153399eb331e:title:machine", "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.b2d10632ea6862a5c8", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e32d417eac9aea79e058153399eb331e", "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": "Machine Learning Engineer, Amazon Tablets Madrid, Community of Madrid, ESP At Amazon Devices & Services, we believe that ideas can change the world. We build the technology that becomes part of everyday life and connects millions of people in ways never thought possible. We engineer high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced game-changing devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Join us as a Software Development Engineer to help us imagine the future, and let's make it reality together. The Amazon Tablets Core Machine Learning team seeks to hire an ML Engineer who has a background in the design and development of scalable AI/ML systems, experience deploying models into production to serve millions of customers, a deep passion for building AI-driven products, and a proven track record of executing complex projects and delivering high business impact. You will be an early member of the team -- together with your team members, you will play a key role in establishing a strong foundation for customer-focused machine learning on the team. This role will provide you with the opportunity to drive impact at Amazon-scale, as well as work closely with with ML scientists in a cross-functional organization. The long-term vision of the team is to make Amazon devices effortlessly engaging for all our customers. We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:696da6238f786893685fa4f3", "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.9ce0ab6d155ccbd873", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e32d417eac9aea79e058153399eb331e", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Machine Learning Engineer, Amazon Tablets Madrid, Community of Madrid, ESP At Amazon Devices & Services, we believe that ideas can change the world. We build the technology that becomes part of everyday life and connects millions of people in ways never thought possible. We engineer high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced game-changing devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Join us as a Software Development Engineer to help us imagine the future, and let's make it reality together. The Amazon Tablets Core Machine Learning team seeks to hire an ML Engineer who has a background in the design and development of scalable AI/ML systems, experience deploying models into production to serve millions of customers, a deep passion for building AI-driven products, and a proven track record of executing complex projects and delivering high business impact. You will be an early member of the team -- together with your team members, you will play a key role in establishing a strong foundation for customer-focused machine learning on the team. This role will provide you with the opportunity to drive impact at Amazon-scale, as well as work closely with with ML scientists in a cross-functional organization. The long-term vision of the team is to make Amazon devices effortlessly engaging for all our customers. We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee", "matched_input": "thought", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.915546284c868e2d56", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e32d417eac9aea79e058153399eb331e", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title contains \"machine\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Machine Learning Engineer, Amazon Tablets", "matched_input": "machine", "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.fb646b8596eaf62b59", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e32d417eac9aea79e058153399eb331e", "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.661f7539d10e5812f6", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.amazon.jobs/en/jobs/10420348/machine-learning-engineer-amazon-tablets", "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/10420348/machine-learning-engineer-amazon-tablets", "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/10420348/machine-learning-engineer-amazon-tablets", "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/10420348/machine-learning-engineer-amazon-tablets", "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/10420348/machine-learning-engineer-amazon-tablets", "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/10420348/machine-learning-engineer-amazon-tablets", "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/10420348/machine-learning-engineer-amazon-tablets", "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/10420348/machine-learning-engineer-amazon-tablets", "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/10420348/machine-learning-engineer-amazon-tablets", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "3978abed68e37905eba169031b112467", "title": "Software Machine Learning Engineer (Universal Robots, Bangalore - India)", "employer_name": "Teradyne", "employer_slug": "teradyne", "location_text": "Software Machine Learning Engineer (Universal Robots, Bangalore - India)", "country": "IN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": true, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.teradyne.com/Universal-Robots/job/Bangalore-Software-Machine-Learning-Engineer-%28Universal-Robots%2C-Bangalore-India%29/1391713600/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Machine Learning Engineer (Universal Robots, Bangalore - India) Software Machine Learning Engineer (Universal Robots, Bangalore - India) Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview We are seeking a Software Engineer with AI/ML experience to join the AI Partnerships team in Bangalore, India. This mid-level role focuses on building, deploying, and maintaining the software systems and ML pipelines that connect advanced AI capabilities with Teradyne's robotics products and partner ecosystems. You will collaborate with machine learning researchers and robotics engineers to ensure that state-of-the-art AI models are delivered as robust, production-ready software for applications in robot manipulation, visual inspection, and autonomous mobile robots (AMRs) / mobile manipulators. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. You will own significant software modules end-to-end - from understanding the problem through designing, building, testing, and supporting them in production. Responsibilities Design and implement ML pipelines for training, evaluation, and de", "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://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.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": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/97210/000119312526059002/ter-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" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/97210/000119312526059002/ter-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf", "db_column": "parental_leave_weeks", "source_url": "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": null, "employer_industry_source": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2e060c694b5c49d69a", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3978abed68e37905eba169031b112467", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Machine Learning Engineer (Universal Robots, Bangalore - India) Software Machine Learning Engineer (Universal Robots, Bangalore - India) Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview We are seeking a Software Engineer with AI/ML experience to join the AI Partnerships team in Bangalore, India. This mid-level role focuses on building, deploying, and maintaining the software systems and ML pipelines that connect advanced AI capabilities with Teradyne's robotics products and partner ecosystems. You will collaborate with machine learning researchers and robotics engineers to ensure that state-of-the-art AI models are delivered as robust, production-ready software for applications in robot manipulation, visual inspection, and autonomous mobile robots (AMRs) / mobile manipulators. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. You will own significant software modules end-to-end - from understanding the problem through designing, building, testing, and supporting them in production. Responsibilities Design and implement ML pipelines for training, evaluation, and de", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:3978abed68e37905eba169031b112467:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3bbc95c7d01213879d", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3978abed68e37905eba169031b112467", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Machine Learning Engineer (Universal Robots, Bangalore - India) Software Machine Learning Engineer (Universal Robots, Bangalore - India) Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview We are seeking a Software Engineer with AI/ML experience to join the AI Partnerships team in Bangalore, India. This mid-level role focuses on building, deploying, and maintaining the software systems and ML pipelines that connect advanced AI capabilities with Teradyne's robotics products and partner ecosystems. You will collaborate with machine learning researchers and robotics engineers to ensure that state-of-the-art AI models are delivered as robust, production-ready software for applications in robot manipulation, visual inspection, and autonomous mobile robots (AMRs) / mobile manipulators. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. You will own significant software modules end-to-end - from understanding the problem through designing, building, testing, and supporting them in production. Responsibilities Design and implement ML pipelines for training, evaluation, and de", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:3978abed68e37905eba169031b112467:description:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.location_text.88376ae24336673237", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3978abed68e37905eba169031b112467", "signal_type": "query_match", "display_text": "Location: \"machine\"", "tooltip": "Location matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "location_text", "source_value": "Software Machine Learning Engineer (Universal Robots, Bangalore - India)", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:3978abed68e37905eba169031b112467:location:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.9aa655e8d0ce596805", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3978abed68e37905eba169031b112467", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Software Machine Learning Engineer (Universal Robots, Bangalore - India)", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:3978abed68e37905eba169031b112467:title:machine", "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.5ab0f52b20fea0bc98", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3978abed68e37905eba169031b112467", "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": "Software Machine Learning Engineer (Universal Robots, Bangalore - India) Software Machine Learning Engineer (Universal Robots, Bangalore - India) Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview We are seeking a Software Engineer with AI/ML experience to join the AI Partnerships team in Bangalore, India. This mid-level role focuses on building, deploying, and maintaining the software systems and ML pipelines that connect advanced AI capabilities with Teradyne's robotics products and partner ecosystems. You will collaborate with machine learning researchers and robotics engineers to ensure that state-of-the-art AI models are delivered as robust, production-ready software for applications in robot manipulation, visual inspection, and autonomous mobile robots (AMRs) / mobile manipulators. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. You will own significant software modules end-to-end - from understanding the problem through designing, building, testing, and supporting them in production. Responsibilities Design and implement ML pipelines for training, evaluation, and de", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:d6f8234fcd50b3c834f7af96", "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.8d33100270d4a20e59", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3978abed68e37905eba169031b112467", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Machine Learning Engineer (Universal Robots, Bangalore - India) Software Machine Learning Engineer (Universal Robots, Bangalore - India) Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview We are seeking a Software Engineer with AI/ML experience to join the AI Partnerships team in Bangalore, India. This mid-level role focuses on building, deploying, and maintaining the software systems and ML pipelines that connect advanced AI capabilities with Teradyne's robotics products and partner ecosystems. You will collaborate with machine learning researchers and robotics engineers to ensure that state-of-the-art AI models are delivered as robust, production-ready software for applications in robot manipulation, visual inspection, and autonomous mobile robots (AMRs) / mobile manipulators. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. You will own significant software modules end-to-end - from understanding the problem through designing, building, testing, and supporting them in production. Responsibilities Design and implement ML pipelines for training, evaluation, and de", "matched_input": "thought", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.f3a8bbd896196f39c9", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3978abed68e37905eba169031b112467", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title contains \"machine\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Software Machine Learning Engineer (Universal Robots, Bangalore - India)", "matched_input": "machine", "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.310110acad589d83e3", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3978abed68e37905eba169031b112467", "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.ee323960e6ed3512a9", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/97210/000119312526059002/ter-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/97210/000119312526059002/ter-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://jobs.teradyne.com/Universal-Robots/job/Bangalore-Software-Machine-Learning-Engineer-%28Universal-Robots%2C-Bangalore-India%29/1391713600/", "source_values": [ "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.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://jobs.teradyne.com/Universal-Robots/job/Bangalore-Software-Machine-Learning-Engineer-%28Universal-Robots%2C-Bangalore-India%29/1391713600/", "source_values": [ "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Universal-Robots/job/Bangalore-Software-Machine-Learning-Engineer-%28Universal-Robots%2C-Bangalore-India%29/1391713600/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Universal-Robots/job/Bangalore-Software-Machine-Learning-Engineer-%28Universal-Robots%2C-Bangalore-India%29/1391713600/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Universal-Robots/job/Bangalore-Software-Machine-Learning-Engineer-%28Universal-Robots%2C-Bangalore-India%29/1391713600/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Universal-Robots/job/Bangalore-Software-Machine-Learning-Engineer-%28Universal-Robots%2C-Bangalore-India%29/1391713600/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-05-07" } } }, { "id": "31341c16182df6628b7c03346dae2833", "title": "Future Opportunity -- Machine Learning Engineer", "employer_name": "Intuitive Surgical, Inc.", "employer_slug": "intuitive-surgical", "location_text": "Sunnyvale, CA, United States", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.smartrecruiters.com/Intuitive/744000113827908-future-opportunity-machine-learning-engineer", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Future Opportunity -- Machine Learning Engineer Sunnyvale, CA, United States Company Description: At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Job Description: The", "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://careers.intuitive.com/en/inclusive-benefits/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1035267/000103526726000010/isrg-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" }, "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/1035267/000103526726000010/isrg-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://careers.intuitive.com/en/inclusive-benefits/", "db_column": "parental_leave_weeks", "source_url": "https://careers.intuitive.com/en/inclusive-benefits/" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://careers.intuitive.com/en/inclusive-benefits/", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://careers.intuitive.com/en/inclusive-benefits/" } }, "seniority": "mid", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "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": false, "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.1b6e82a07f346ff952", "query_id": "gq_2fef1c75767c6f126121", "job_id": "31341c16182df6628b7c03346dae2833", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Future Opportunity -- Machine Learning Engineer Sunnyvale, CA, United States Company Description: At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Job Description: The", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:31341c16182df6628b7c03346dae2833:description:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.328218bfdc699ef3c2", "query_id": "gq_2fef1c75767c6f126121", "job_id": "31341c16182df6628b7c03346dae2833", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Future Opportunity -- Machine Learning Engineer Sunnyvale, CA, United States Company Description: At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Job Description: The", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:31341c16182df6628b7c03346dae2833:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.c7eed9933a05ddcf47", "query_id": "gq_2fef1c75767c6f126121", "job_id": "31341c16182df6628b7c03346dae2833", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Future Opportunity -- Machine Learning Engineer", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:31341c16182df6628b7c03346dae2833:title:machine", "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.08137c5bba00ad0384", "query_id": "gq_2fef1c75767c6f126121", "job_id": "31341c16182df6628b7c03346dae2833", "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": "Future Opportunity -- Machine Learning Engineer Sunnyvale, CA, United States Company Description: At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Job Description: The", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:12ca7fbceed6cd4acd3285ec", "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.c8ff1f418e2c3cceb1", "query_id": "gq_2fef1c75767c6f126121", "job_id": "31341c16182df6628b7c03346dae2833", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Future Opportunity -- Machine Learning Engineer Sunnyvale, CA, United States Company Description: At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Job Description: The", "matched_input": "thought", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.497979c4a35291e7e9", "query_id": "gq_2fef1c75767c6f126121", "job_id": "31341c16182df6628b7c03346dae2833", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title contains \"machine\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Future Opportunity -- Machine Learning Engineer", "matched_input": "machine", "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.bf78fab02bfb5144c1", "query_id": "gq_2fef1c75767c6f126121", "job_id": "31341c16182df6628b7c03346dae2833", "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.73312a9e305a988e2e", "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_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Intuitive/744000113827908-future-opportunity-machine-learning-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/1035267/000103526726000010/isrg-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/1035267/000103526726000010/isrg-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://jobs.smartrecruiters.com/Intuitive/744000113827908-future-opportunity-machine-learning-engineer", "source_values": [ "https://careers.intuitive.com/en/inclusive-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://jobs.smartrecruiters.com/Intuitive/744000113827908-future-opportunity-machine-learning-engineer", "source_values": [ "https://careers.intuitive.com/en/inclusive-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://jobs.smartrecruiters.com/Intuitive/744000113827908-future-opportunity-machine-learning-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.smartrecruiters.com/Intuitive/744000113827908-future-opportunity-machine-learning-engineer", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "employer_industry": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": null, "source_values": [ "source_sector" ], "checked_at": "2026-06-20T05:42:05.724Z" } } }, { "id": "e3688c67f8dc704e33d6e66196b1f10d", "title": "Associate Director, Thought Leader Liaison - North Central", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "12 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": "2026-06-08T00:00:00.000Z", "apply_url": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison_R46775", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - North Central 12 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.fc8017ad7fe9c6472c", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e3688c67f8dc704e33d6e66196b1f10d", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - North Central 12 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:e3688c67f8dc704e33d6e66196b1f10d:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.b0c6caa96497514c83", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e3688c67f8dc704e33d6e66196b1f10d", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - North Central", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:e3688c67f8dc704e33d6e66196b1f10d:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.283748c96515792206", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e3688c67f8dc704e33d6e66196b1f10d", "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": "Associate Director, Thought Leader Liaison - North Central", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b20554690facb515bbe6c571", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.fe0de7e40b069ec3ae", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e3688c67f8dc704e33d6e66196b1f10d", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - North Central", "matched_input": "thought", "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.06256e642d5d657b22", "query_id": "gq_2fef1c75767c6f126121", "job_id": "e3688c67f8dc704e33d6e66196b1f10d", "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.19af4ea2edb6fc2677", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison_R46775", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison_R46775", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison_R46775", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Illinois/Associate-Director--Thought-Leader-Liaison_R46775", "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": "648c8ae9bf47f6ce11443755b8658b4d", "title": "Messaging and Thought Leadership Lead, YouTube Ads Marketing", "employer_name": "YouTube", "employer_slug": "youtube", "location_text": "New York, NY, 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": 141000, "salary_max": 206000, "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": 141000, "base_salary_max": 206000, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": 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": "2026-06-04T21:37:40.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZlkB3bCfVQJw_IbZJyhXhbcpA0VglavgAjdfJHjVLynEjoACxwdTN9vdFyJfAF7oqcgFA4FQt6n_Vep-ppE1ry87ZUTZtQAqRZiKN_Qlfu7LLz3YRn9VRyIERb3_V2&loc=US&title=Messaging+and+Thought+Leadership+Lead", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Messaging and Thought Leadership Lead, YouTube Ads Marketing New York, NY, USA YouTube Marketing's mission is to know our users, and to connect them to the magic of our products and creators. We make YouTube successful by shaping people's perceptions of YouTube and inspiring them to engage with us. We're also responsible for all of YouTube's marketing activities to consumers, creators, and key opinion influencers. Beloved by billions globally, YouTube is one of the most culturally relevant platforms in the world and a premier place for advertisers to reach highly engaged audiences. Within the YouTube Ads Marketing team, the Thought Leadership and Narratives group is responsible for crafting our core narrative and bringing it to life through a comprehensive content strategy. As the Messaging & Thought Leadership Lead, YouTube Ads Marketing, you will serve as a strong strategic leader and writer, shaping overarching narratives across our entire product portfolio. A critical component of this role is defining our competitive messaging. You will establish YouTube's leadership in creator and brand agreements specifically tailored for brands and agency partners, including marketers and agencies. This is a highly cross-functional role that requires deep industry fluency. You will bridge high-level strategic goals with impactful, market-facing thought leadership to guide our messaging strategy. By ensuring rigorous, compelling storytelling, you will differentiate YouTube in a crowded advertising landscape. Ultimately, the Messaging & Thought Leadership Lead, YouTube Ads Marketing acts as the unifying voice for our most important market claims, ensuring consistency across all deliverables. Know the", "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": 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_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "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://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": 6, "years_experience_max": 10, "role_function": "marketing", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": "source_sector", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.7bc55eacdb0fe17dd7", "query_id": "gq_2fef1c75767c6f126121", "job_id": "648c8ae9bf47f6ce11443755b8658b4d", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Messaging and Thought Leadership Lead, YouTube Ads Marketing New York, NY, USA YouTube Marketing's mission is to know our users, and to connect them to the magic of our products and creators. We make YouTube successful by shaping people's perceptions of YouTube and inspiring them to engage with us. We're also responsible for all of YouTube's marketing activities to consumers, creators, and key opinion influencers. Beloved by billions globally, YouTube is one of the most culturally relevant platforms in the world and a premier place for advertisers to reach highly engaged audiences. Within the YouTube Ads Marketing team, the Thought Leadership and Narratives group is responsible for crafting our core narrative and bringing it to life through a comprehensive content strategy. As the Messaging & Thought Leadership Lead, YouTube Ads Marketing, you will serve as a strong strategic leader and writer, shaping overarching narratives across our entire product portfolio. A critical component of this role is defining our competitive messaging. You will establish YouTube's leadership in creator and brand agreements specifically tailored for brands and agency partners, including marketers and agencies. This is a highly cross-functional role that requires deep industry fluency. You will bridge high-level strategic goals with impactful, market-facing thought leadership to guide our messaging strategy. By ensuring rigorous, compelling storytelling, you will differentiate YouTube in a crowded advertising landscape. Ultimately, the Messaging & Thought Leadership Lead, YouTube Ads Marketing acts as the unifying voice for our most important market claims, ensuring consistency across all deliverables. Know the", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:648c8ae9bf47f6ce11443755b8658b4d:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.6ea172fed89e6b9f78", "query_id": "gq_2fef1c75767c6f126121", "job_id": "648c8ae9bf47f6ce11443755b8658b4d", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Messaging and Thought Leadership Lead, YouTube Ads Marketing", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:648c8ae9bf47f6ce11443755b8658b4d:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.67dc6eae5841bf2178", "query_id": "gq_2fef1c75767c6f126121", "job_id": "648c8ae9bf47f6ce11443755b8658b4d", "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": "Messaging and Thought Leadership Lead, YouTube Ads Marketing", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:825ea064c390545c3a02447d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.ab275792d53e221285", "query_id": "gq_2fef1c75767c6f126121", "job_id": "648c8ae9bf47f6ce11443755b8658b4d", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Messaging and Thought Leadership Lead, YouTube Ads Marketing", "matched_input": "thought", "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.9467451d91b7b7da47", "query_id": "gq_2fef1c75767c6f126121", "job_id": "648c8ae9bf47f6ce11443755b8658b4d", "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.1c8b9e86eee6b48297", "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=CiUAL2FckZlkB3bCfVQJw_IbZJyhXhbcpA0VglavgAjdfJHjVLynEjoACxwdTN9vdFyJfAF7oqcgFA4FQt6n_Vep-ppE1ry87ZUTZtQAqRZiKN_Qlfu7LLz3YRn9VRyIERb3_V2&loc=US&title=Messaging+and+Thought+Leadership+Lead", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZlkB3bCfVQJw_IbZJyhXhbcpA0VglavgAjdfJHjVLynEjoACxwdTN9vdFyJfAF7oqcgFA4FQt6n_Vep-ppE1ry87ZUTZtQAqRZiKN_Qlfu7LLz3YRn9VRyIERb3_V2&loc=US&title=Messaging+and+Thought+Leadership+Lead", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZlkB3bCfVQJw_IbZJyhXhbcpA0VglavgAjdfJHjVLynEjoACxwdTN9vdFyJfAF7oqcgFA4FQt6n_Vep-ppE1ry87ZUTZtQAqRZiKN_Qlfu7LLz3YRn9VRyIERb3_V2&loc=US&title=Messaging+and+Thought+Leadership+Lead", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "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://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZlkB3bCfVQJw_IbZJyhXhbcpA0VglavgAjdfJHjVLynEjoACxwdTN9vdFyJfAF7oqcgFA4FQt6n_Vep-ppE1ry87ZUTZtQAqRZiKN_Qlfu7LLz3YRn9VRyIERb3_V2&loc=US&title=Messaging+and+Thought+Leadership+Lead", "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=CiUAL2FckZlkB3bCfVQJw_IbZJyhXhbcpA0VglavgAjdfJHjVLynEjoACxwdTN9vdFyJfAF7oqcgFA4FQt6n_Vep-ppE1ry87ZUTZtQAqRZiKN_Qlfu7LLz3YRn9VRyIERb3_V2&loc=US&title=Messaging+and+Thought+Leadership+Lead", "source_values": [ "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZlkB3bCfVQJw_IbZJyhXhbcpA0VglavgAjdfJHjVLynEjoACxwdTN9vdFyJfAF7oqcgFA4FQt6n_Vep-ppE1ry87ZUTZtQAqRZiKN_Qlfu7LLz3YRn9VRyIERb3_V2&loc=US&title=Messaging+and+Thought+Leadership+Lead", "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://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZlkB3bCfVQJw_IbZJyhXhbcpA0VglavgAjdfJHjVLynEjoACxwdTN9vdFyJfAF7oqcgFA4FQt6n_Vep-ppE1ry87ZUTZtQAqRZiKN_Qlfu7LLz3YRn9VRyIERb3_V2&loc=US&title=Messaging+and+Thought+Leadership+Lead", "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://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckZlkB3bCfVQJw_IbZJyhXhbcpA0VglavgAjdfJHjVLynEjoACxwdTN9vdFyJfAF7oqcgFA4FQt6n_Vep-ppE1ry87ZUTZtQAqRZiKN_Qlfu7LLz3YRn9VRyIERb3_V2&loc=US&title=Messaging+and+Thought+Leadership+Lead", "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": "2c1484bf446023668cf53ae71369a348", "title": "Mechanical Engineer, Annapurna Labs, Machine Learning Hardware", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Austin, Texas, 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": "2026-06-05T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 56, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "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": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.14c80105042c73527a", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2c1484bf446023668cf53ae71369a348", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:2c1484bf446023668cf53ae71369a348:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.99338c04627d1f8796", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2c1484bf446023668cf53ae71369a348", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:2c1484bf446023668cf53ae71369a348:description:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.1cd4b3bbf086b9ec9c", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2c1484bf446023668cf53ae71369a348", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Mechanical Engineer, Annapurna Labs, Machine Learning Hardware", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:2c1484bf446023668cf53ae71369a348:title:machine", "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.4603f5c44c44cb5ff2", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2c1484bf446023668cf53ae71369a348", "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": "Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0905768f7ff3dbf20969b6ce", "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.cfcf6b4c082ee2224f", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2c1484bf446023668cf53ae71369a348", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data", "matched_input": "thought", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.54ea491e3a932b7809", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2c1484bf446023668cf53ae71369a348", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title contains \"machine\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Mechanical Engineer, Annapurna Labs, Machine Learning Hardware", "matched_input": "machine", "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.f4e31bca310a693d49", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2c1484bf446023668cf53ae71369a348", "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.eb7e4f344da99d5a72", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/10440713/mechanical-engineer-annapurna-labs-machine-learning-hardware", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "2bd918d5fdf0b433b1525dd2f6b4d6f3", "title": "Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Austin, Texas, 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": 159200, "salary_max": 215300, "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": 159200, "base_salary_max": 215300, "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": "2026-02-27T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 56, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families", "db_column": "parental_leave_weeks", "source_url": "https://www.aboutamazon.com/news/workplace/what-20-weeks-of-fully-paid-leave-does-for-Amazon-families" }, "mental_health_support": { "field": "mental_health_support", "source": "llm:greenfield:inv_371_postfix", "db_column": "mental_health_support" }, "adoption_assistance_offered": { "field": "adoption_assistance_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "adoption_assistance_offered" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" }, "fertility_family_building_benefits": { "field": "fertility_family_building_benefits", "source": "llm:greenfield:inv_371_postfix", "db_column": "fertility_family_building_benefits" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6daa8ad7da54163c58", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2bd918d5fdf0b433b1525dd2f6b4d6f3", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:2bd918d5fdf0b433b1525dd2f6b4d6f3:description:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e8dba182912c2ae512", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2bd918d5fdf0b433b1525dd2f6b4d6f3", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:2bd918d5fdf0b433b1525dd2f6b4d6f3:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.3b9846d2296002c68f", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2bd918d5fdf0b433b1525dd2f6b4d6f3", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:2bd918d5fdf0b433b1525dd2f6b4d6f3:title:machine", "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.81592a65234f8ae352", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2bd918d5fdf0b433b1525dd2f6b4d6f3", "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": "Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3c1be91927b0dd0b87d0d4e6", "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.cb6993b58029937d52", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2bd918d5fdf0b433b1525dd2f6b4d6f3", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge", "matched_input": "thought", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.e8ab429f5d8f60a9f4", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2bd918d5fdf0b433b1525dd2f6b4d6f3", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title contains \"machine\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware", "matched_input": "machine", "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.0df4c20ab83b373314", "query_id": "gq_2fef1c75767c6f126121", "job_id": "2bd918d5fdf0b433b1525dd2f6b4d6f3", "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.1edc4905252078aa04", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "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/3191937/sr-mechanical-engineer-annapurna-labs-machine-learning-hardware", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "65443f8c18a09cf2a7c0052b836f86b2", "title": "Associate Director, Thought Leader Liaison - Northeast", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "6 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Maine/Associate-Director--Thought-Leader-Liaison_R46776", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Associate Director, Thought Leader Liaison - Northeast 6 Locations posted: Posted 4 Days Ago", "parental_leave_weeks": 12, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "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/872589/000087258926000008/regn-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/872589/000087258926000008/regn-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://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "parental_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "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.query.description_excerpt.7ae225774c76da739c", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65443f8c18a09cf2a7c0052b836f86b2", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Associate Director, Thought Leader Liaison - Northeast 6 Locations posted: Posted 4 Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:65443f8c18a09cf2a7c0052b836f86b2:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.95ac9be301004492f4", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65443f8c18a09cf2a7c0052b836f86b2", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Northeast", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:65443f8c18a09cf2a7c0052b836f86b2:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.bb6a6e9fc4511862df", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65443f8c18a09cf2a7c0052b836f86b2", "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": "Associate Director, Thought Leader Liaison - Northeast", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:c3fcd8adc1ee6d080f487b4f", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.27700309926f8c92a2", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65443f8c18a09cf2a7c0052b836f86b2", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Associate Director, Thought Leader Liaison - Northeast", "matched_input": "thought", "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.e54df70d9dc3d63083", "query_id": "gq_2fef1c75767c6f126121", "job_id": "65443f8c18a09cf2a7c0052b836f86b2", "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.906d9ebb3cfb29494b", "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/872589/000087258926000008/regn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/872589/000087258926000008/regn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Maine/Associate-Director--Thought-Leader-Liaison_R46776", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Maine/Associate-Director--Thought-Leader-Liaison_R46776", "source_values": [ "https://newsroom.regeneron.com/static-files/72f526f3-62f9-4b30-ace7-2257ab1c0587" ], "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Maine/Associate-Director--Thought-Leader-Liaison_R46776", "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://regeneron.wd1.myworkdayjobs.com/Careers/job/Remote---Maine/Associate-Director--Thought-Leader-Liaison_R46776", "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": "8a5ec51bd2cf119ac283e5d7017edc27", "title": "Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Cupertino, California, 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": 183000, "salary_max": 247600, "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": 183000, "base_salary_max": 247600, "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": "2026-05-28T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Cupertino, California, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing", "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" ] }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/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": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.678884b7c3d96aa889", "query_id": "gq_2fef1c75767c6f126121", "job_id": "8a5ec51bd2cf119ac283e5d7017edc27", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Cupertino, California, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:8a5ec51bd2cf119ac283e5d7017edc27:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e14eaf66cdc30d59f8", "query_id": "gq_2fef1c75767c6f126121", "job_id": "8a5ec51bd2cf119ac283e5d7017edc27", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Cupertino, California, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:8a5ec51bd2cf119ac283e5d7017edc27:description:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.305f88b915560b0690", "query_id": "gq_2fef1c75767c6f126121", "job_id": "8a5ec51bd2cf119ac283e5d7017edc27", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:8a5ec51bd2cf119ac283e5d7017edc27:title:machine", "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.ff66d12e9af115a75c", "query_id": "gq_2fef1c75767c6f126121", "job_id": "8a5ec51bd2cf119ac283e5d7017edc27", "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": "Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Cupertino, California, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:8cd6f09c6693675e57491701", "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.9a651c985374d8f58c", "query_id": "gq_2fef1c75767c6f126121", "job_id": "8a5ec51bd2cf119ac283e5d7017edc27", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Cupertino, California, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing", "matched_input": "thought", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.d7d4eba31f28c63c5c", "query_id": "gq_2fef1c75767c6f126121", "job_id": "8a5ec51bd2cf119ac283e5d7017edc27", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title contains \"machine\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning", "matched_input": "machine", "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.5843d2c67982972761", "query_id": "gq_2fef1c75767c6f126121", "job_id": "8a5ec51bd2cf119ac283e5d7017edc27", "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.76c321210cfc506f4e", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "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/10433675/sr-physical-design-engineer-static-timing-analysis-annapurna-labs-cloud-scale-machine-learning", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } }, { "id": "88dd23a1d97b78b33eeb9d75367d893d", "title": "Software Machine Learning Engineer", "employer_name": "Teradyne", "employer_slug": "teradyne", "location_text": "North Reading, MA", "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": 116500, "salary_max": 186400, "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": 116500, "base_salary_max": 186400, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": true, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Machine Learning Engineer North Reading, MA Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI. You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. Design and implement pipelines for training, evaluation, and deployment of ML models. Apply graph ML methods to model relationships in structured and unstructured data. Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks. Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems. Collabor", "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://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/97210/000119312526059002/ter-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" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/97210/000119312526059002/ter-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "childcare_subsidy": { "field": "childcare_subsidy", "source": "llm:greenfield:inv_371_postfix", "db_column": "childcare_subsidy" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf", "db_column": "parental_leave_weeks", "source_url": "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf" } }, "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": null, "employer_industry_source": null, "employer_size": null, "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.4659eb79e28bd26720", "query_id": "gq_2fef1c75767c6f126121", "job_id": "88dd23a1d97b78b33eeb9d75367d893d", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Machine Learning Engineer North Reading, MA Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI. You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. Design and implement pipelines for training, evaluation, and deployment of ML models. Apply graph ML methods to model relationships in structured and unstructured data. Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks. Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems. Collabor", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:88dd23a1d97b78b33eeb9d75367d893d:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.92aaff307056a18d32", "query_id": "gq_2fef1c75767c6f126121", "job_id": "88dd23a1d97b78b33eeb9d75367d893d", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Software Machine Learning Engineer North Reading, MA Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI. You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. Design and implement pipelines for training, evaluation, and deployment of ML models. Apply graph ML methods to model relationships in structured and unstructured data. Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks. Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems. Collabor", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:88dd23a1d97b78b33eeb9d75367d893d:description:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.8840ec2bb0520ec439", "query_id": "gq_2fef1c75767c6f126121", "job_id": "88dd23a1d97b78b33eeb9d75367d893d", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Software Machine Learning Engineer", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:88dd23a1d97b78b33eeb9d75367d893d:title:machine", "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.4f680cb408647b1d32", "query_id": "gq_2fef1c75767c6f126121", "job_id": "88dd23a1d97b78b33eeb9d75367d893d", "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": "Software Machine Learning Engineer North Reading, MA Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI. You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. Design and implement pipelines for training, evaluation, and deployment of ML models. Apply graph ML methods to model relationships in structured and unstructured data. Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks. Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems. Collabor", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:93ed0ecddf253c6ce455d319", "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.f66f51a7517c364284", "query_id": "gq_2fef1c75767c6f126121", "job_id": "88dd23a1d97b78b33eeb9d75367d893d", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Software Machine Learning Engineer North Reading, MA Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI. You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. Design and implement pipelines for training, evaluation, and deployment of ML models. Apply graph ML methods to model relationships in structured and unstructured data. Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks. Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems. Collabor", "matched_input": "thought", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.19eaa44af04086858d", "query_id": "gq_2fef1c75767c6f126121", "job_id": "88dd23a1d97b78b33eeb9d75367d893d", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title contains \"machine\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Software Machine Learning Engineer", "matched_input": "machine", "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.38387b958aabd59ee3", "query_id": "gq_2fef1c75767c6f126121", "job_id": "88dd23a1d97b78b33eeb9d75367d893d", "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.54a485104b9beef77d", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "salary_min": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_max": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "salary_type": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "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/97210/000119312526059002/ter-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/97210/000119312526059002/ter-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://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "source_values": [ "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.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://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "source_values": [ "https://teradyne.cn/wp-content/uploads/2020/03/2020-Open-Enrollment-Newsletter.pdf" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "company_stage": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-20T05:42:05.724Z" }, "childcare_subsidy": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://jobs.teradyne.com/Teradyne/job/North-Reading-Software-Machine-Learning-Engineer-MA/1398098400/", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-05-07" } } }, { "id": "200a0372fa7122dd150557366baaf554", "title": "Principal, Thought Leadership Content Strategist", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "5 Locations", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "rsu", "options", "espp" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal--Thought-Leadership-Content-Strategist_R167187-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Principal, Thought Leadership Content Strategist 5 Locations posted: Posted 30+ Days Ago", "parental_leave_weeks": 16, "non_birth_parent_leave_weeks": 16, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "parental_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence" } }, "seniority": "staff_plus", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 8, "years_experience_max": 12, "role_function": "marketing", "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.query.description_excerpt.0029d1cbc2acc771d1", "query_id": "gq_2fef1c75767c6f126121", "job_id": "200a0372fa7122dd150557366baaf554", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Principal, Thought Leadership Content Strategist 5 Locations posted: Posted 30+ Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:200a0372fa7122dd150557366baaf554:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.28af226646303d6502", "query_id": "gq_2fef1c75767c6f126121", "job_id": "200a0372fa7122dd150557366baaf554", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Principal, Thought Leadership Content Strategist", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:200a0372fa7122dd150557366baaf554:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.51f8006ba0e37f56a9", "query_id": "gq_2fef1c75767c6f126121", "job_id": "200a0372fa7122dd150557366baaf554", "signal_type": "query_match", "display_text": "Title: semantic match", "tooltip": "Title provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "title", "source_value": "Principal, Thought Leadership Content Strategist", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:f1b66aae9746fb0187826224", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.136de1f91b4b474c64", "query_id": "gq_2fef1c75767c6f126121", "job_id": "200a0372fa7122dd150557366baaf554", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Principal, Thought Leadership Content Strategist", "matched_input": "thought", "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.887ffe3b6e1c42c4df", "query_id": "gq_2fef1c75767c6f126121", "job_id": "200a0372fa7122dd150557366baaf554", "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.257d7a924c7f458f3a", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal--Thought-Leadership-Content-Strategist_R167187-1", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal--Thought-Leadership-Content-Strategist_R167187-1", "source_values": [ "https://benefits.adobe.com/us/time-off/leaves-of-absence" ], "checked_at": "2026-05-07" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-05-07" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal--Thought-Leadership-Content-Strategist_R167187-1", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Principal--Thought-Leadership-Content-Strategist_R167187-1", "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": "7caf8566711614bcdd84503361b0808c", "title": "CNC Machine Operator 2 (Machine Shop)", "employer_name": "GE Aerospace", "employer_slug": "ge-aerospace", "location_text": "Norwich", "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": "2026-06-05T00:00:00.000Z", "apply_url": "https://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Norwich/CNC-Machine-Operator-2--Machine-Shop-_R5034613-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "CNC Machine Operator 2 (Machine Shop) Norwich posted: Posted 7 Days Ago", "parental_leave_weeks": 10, "non_birth_parent_leave_weeks": 10, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 60, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/40545/000004054526000008/ge-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/40545/000004054526000008/ge-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.geaerospace.com/sites/default/files/2025-sustainability-report.pdf", "db_column": "parental_leave_weeks", "source_url": "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.pdf" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.pdf", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.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": "Defense", "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.query.description_excerpt.6b6bb6f8baf1c40df3", "query_id": "gq_2fef1c75767c6f126121", "job_id": "7caf8566711614bcdd84503361b0808c", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "CNC Machine Operator 2 (Machine Shop) Norwich posted: Posted 7 Days Ago", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:7caf8566711614bcdd84503361b0808c:description:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.49e9c6cb657d41c160", "query_id": "gq_2fef1c75767c6f126121", "job_id": "7caf8566711614bcdd84503361b0808c", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "CNC Machine Operator 2 (Machine Shop)", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:7caf8566711614bcdd84503361b0808c:title:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.c3ff076a8e5da4b2d3", "query_id": "gq_2fef1c75767c6f126121", "job_id": "7caf8566711614bcdd84503361b0808c", "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": "CNC Machine Operator 2 (Machine Shop)", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e92b5af511d9a1938658b255", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.172d7126657a8f1f64", "query_id": "gq_2fef1c75767c6f126121", "job_id": "7caf8566711614bcdd84503361b0808c", "signal_type": "query_match", "display_text": "Title: \"machine\"", "tooltip": "Title contains \"machine\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "CNC Machine Operator 2 (Machine Shop)", "matched_input": "machine", "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.22a38df1ee4c5a05e5", "query_id": "gq_2fef1c75767c6f126121", "job_id": "7caf8566711614bcdd84503361b0808c", "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.a9870054e10c074468", "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/40545/000004054526000008/ge-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/40545/000004054526000008/ge-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Norwich/CNC-Machine-Operator-2--Machine-Shop-_R5034613-1", "source_values": [ "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.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://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Norwich/CNC-Machine-Operator-2--Machine-Shop-_R5034613-1", "source_values": [ "https://www.geaerospace.com/sites/default/files/2025-sustainability-report.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://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Norwich/CNC-Machine-Operator-2--Machine-Shop-_R5034613-1", "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://geaerospace.wd5.myworkdayjobs.com/GE_ExternalSite/job/Norwich/CNC-Machine-Operator-2--Machine-Shop-_R5034613-1", "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": "3c9edc3e5753defbcd50fae075606280", "title": "Rare Disease Vasculitis Thought Leader Liaison – Sr. Manager Southeast", "employer_name": "Amgen", "employer_slug": "amgen", "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", "profit_share" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": null, "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---Georgia---Atlanta/Rare-Disease-Vasculitis-Thought-Leader-Liaison---Sr-Manager-Southeast_R-243999", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Rare Disease Vasculitis Thought Leader Liaison – Sr. Manager Southeast 2 Locations posted: Posted 30+ Days Ago", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": true, "benefit_last_verified": "2026-06-07T00:00:00Z", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "k401_match": { "source": "dol_form_5500", "source_url": null, "source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "source_label": "DOL Form 5500 filing" }, "equity_type": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "rule", "db_column": "role_function" }, "equity_included": { "source": "sec_10k", "source_url": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_fields": [ "equity_offered", "equity_type" ] }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "parental_leave_weeks": { "field": "parental_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "parental_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads", "db_column": "non_birth_parent_leave_weeks", "source_url": "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" } }, "seniority": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": "rule", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3a5735f9d2ef27d9aa", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3c9edc3e5753defbcd50fae075606280", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Rare Disease Vasculitis Thought Leader Liaison – Sr. Manager Southeast 2 Locations posted: Posted 30+ Days Ago", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:3c9edc3e5753defbcd50fae075606280:description:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.cf30c7e52fe91b5b59", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3c9edc3e5753defbcd50fae075606280", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "Rare Disease Vasculitis Thought Leader Liaison – Sr. Manager Southeast", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:3c9edc3e5753defbcd50fae075606280:title:thought", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.40d50bab2f5ff71f87", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3c9edc3e5753defbcd50fae075606280", "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": "Rare Disease Vasculitis Thought Leader Liaison – Sr. Manager Southeast", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:dc94aa72ae21e619969b5c1c", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.title.1bc97f290654692031", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3c9edc3e5753defbcd50fae075606280", "signal_type": "query_match", "display_text": "Title: \"thought\"", "tooltip": "Title contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "Rare Disease Vasculitis Thought Leader Liaison – Sr. Manager Southeast", "matched_input": "thought", "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.57951d6c2e185e6d7d", "query_id": "gq_2fef1c75767c6f126121", "job_id": "3c9edc3e5753defbcd50fae075606280", "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.8c4211e9e95eefb305", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ], "source_label": "DOL Form 5500 filing", "parental_leave_source_label": "Employer benefits source", "k401_match_source_label": "DOL Form 5500 filing", "k401_contribution_source_label": "DOL Form 5500 filing", "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "government", "verified": true, "label": "Verified - SEC 10-K", "source_label": "SEC 10-K", "href": "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm", "source_values": [ "sec_10k", "https://www.sec.gov/Archives/edgar/data/318154/000031815426000010/amgn-20251231.htm" ], "checked_at": null }, "parental_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---Georgia---Atlanta/Rare-Disease-Vasculitis-Thought-Leader-Liaison---Sr-Manager-Southeast_R-243999", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "non_birth_parent_leave_weeks": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---Georgia---Atlanta/Rare-Disease-Vasculitis-Thought-Leader-Liaison---Sr-Manager-Southeast_R-243999", "source_values": [ "https://www.amgen.com/stories/2019/07/unique-benefits---family-leave-policy-provides-time-off-for-new-dads" ], "checked_at": "2026-06-07T00:00:00Z" }, "k401_match": { "tier": "government", "verified": true, "label": "Verified - DOL Form 5500", "source_label": "DOL Form 5500", "href": null, "source_values": [ "dol_form_5500", "EMPLR_CONTRIB_INCOME_AMT" ], "checked_at": "2026-06-07T00:00:00Z" }, "seniority": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---Georgia---Atlanta/Rare-Disease-Vasculitis-Thought-Leader-Liaison---Sr-Manager-Southeast_R-243999", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": null }, "role_function": { "tier": "posting", "verified": true, "label": "From the posting", "source_label": "the posting", "href": "https://amgen.wd1.myworkdayjobs.com/Careers/job/US---Georgia---Atlanta/Rare-Disease-Vasculitis-Thought-Leader-Liaison---Sr-Manager-Southeast_R-243999", "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": "9903b05b259272903b455effbbe1afe1", "title": "Sr Manager, Program Management , Relay Trust", "employer_name": "Amazon", "employer_slug": "amazon", "location_text": "Bellevue, 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": 151400, "salary_max": 204800, "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": 151400, "base_salary_max": 204800, "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": "2026-01-28T00:00:00.000Z", "apply_url": "https://www.amazon.jobs/en/jobs/3169001/sr-manager-program-management-relay-trust", "apply_url_verified": false, "ats": "amazon_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr Manager, Program Management , Relay Trust Bellevue, Washington, USA Have you ever thought about what it takes to detect and prevent fraudulent transactions to ensure the hundreds of millions of Amazon packages are received on time by our customers? What kinds of products and systems would you build to maximize customer satisfaction? Amazon is seeking a program management team leader who is passionate about protecting Customers and can thrive working across a diverse, global team. The Relay Trust in TTS (Transportation Technology and Services ) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with. In this role as Sr. Manager, Program Manager, you will lead a team responsible for analyzing and identifying specific instances of risk, broader risk trends and points of customer friction, as well as developing scalable solutions for prevention. You will need to collaborate effectively with cross-functional teams worldwide and within Middle Mile Transportation Technology to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions", "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" }, "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": "senior", "seniority_source": "llm:greenfield:inv_371_postfix", "years_experience_min": 7, "years_experience_max": 9, "role_function": "operations", "role_function_source": "llm:greenfield:inv_371_postfix", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Industrial", "employer_industry_source": "wikidata_sparql_industry", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3c79c74a9e259d33a5", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9903b05b259272903b455effbbe1afe1", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description matched \"machine\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr Manager, Program Management , Relay Trust Bellevue, Washington, USA Have you ever thought about what it takes to detect and prevent fraudulent transactions to ensure the hundreds of millions of Amazon packages are received on time by our customers? What kinds of products and systems would you build to maximize customer satisfaction? Amazon is seeking a program management team leader who is passionate about protecting Customers and can thrive working across a diverse, global team. The Relay Trust in TTS (Transportation Technology and Services ) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with. In this role as Sr. Manager, Program Manager, you will lead a team responsible for analyzing and identifying specific instances of risk, broader risk trends and points of customer friction, as well as developing scalable solutions for prevention. You will need to collaborate effectively with cross-functional teams worldwide and within Middle Mile Transportation Technology to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions", "matched_input": "machine", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:9903b05b259272903b455effbbe1afe1:description:machine", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.41b997b9b9d6911258", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9903b05b259272903b455effbbe1afe1", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description matched \"thought\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Sr Manager, Program Management , Relay Trust Bellevue, Washington, USA Have you ever thought about what it takes to detect and prevent fraudulent transactions to ensure the hundreds of millions of Amazon packages are received on time by our customers? What kinds of products and systems would you build to maximize customer satisfaction? Amazon is seeking a program management team leader who is passionate about protecting Customers and can thrive working across a diverse, global team. The Relay Trust in TTS (Transportation Technology and Services ) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with. In this role as Sr. Manager, Program Manager, you will lead a team responsible for analyzing and identifying specific instances of risk, broader risk trends and points of customer friction, as well as developing scalable solutions for prevention. You will need to collaborate effectively with cross-functional teams worldwide and within Middle Mile Transportation Technology to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions", "matched_input": "thought", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2fef1c75767c6f126121:9903b05b259272903b455effbbe1afe1:description:thought", "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.4d4cd70492dcca84a4", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9903b05b259272903b455effbbe1afe1", "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": "Sr Manager, Program Management , Relay Trust Bellevue, Washington, USA Have you ever thought about what it takes to detect and prevent fraudulent transactions to ensure the hundreds of millions of Amazon packages are received on time by our customers? What kinds of products and systems would you build to maximize customer satisfaction? Amazon is seeking a program management team leader who is passionate about protecting Customers and can thrive working across a diverse, global team. The Relay Trust in TTS (Transportation Technology and Services ) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with. In this role as Sr. Manager, Program Manager, you will lead a team responsible for analyzing and identifying specific instances of risk, broader risk trends and points of customer friction, as well as developing scalable solutions for prevention. You will need to collaborate effectively with cross-functional teams worldwide and within Middle Mile Transportation Technology to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions", "matched_input": "thought machine", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:6969a1db62cd0b20363649d0", "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.4b4251c2078ed14fe8", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9903b05b259272903b455effbbe1afe1", "signal_type": "query_match", "display_text": "Description: \"thought\"", "tooltip": "Description contains \"thought\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr Manager, Program Management , Relay Trust Bellevue, Washington, USA Have you ever thought about what it takes to detect and prevent fraudulent transactions to ensure the hundreds of millions of Amazon packages are received on time by our customers? What kinds of products and systems would you build to maximize customer satisfaction? Amazon is seeking a program management team leader who is passionate about protecting Customers and can thrive working across a diverse, global team. The Relay Trust in TTS (Transportation Technology and Services ) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with. In this role as Sr. Manager, Program Manager, you will lead a team responsible for analyzing and identifying specific instances of risk, broader risk trends and points of customer friction, as well as developing scalable solutions for prevention. You will need to collaborate effectively with cross-functional teams worldwide and within Middle Mile Transportation Technology to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions", "matched_input": "thought", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a53bbcb84fa22d01e0", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9903b05b259272903b455effbbe1afe1", "signal_type": "query_match", "display_text": "Description: \"machine\"", "tooltip": "Description contains \"machine\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Sr Manager, Program Management , Relay Trust Bellevue, Washington, USA Have you ever thought about what it takes to detect and prevent fraudulent transactions to ensure the hundreds of millions of Amazon packages are received on time by our customers? What kinds of products and systems would you build to maximize customer satisfaction? Amazon is seeking a program management team leader who is passionate about protecting Customers and can thrive working across a diverse, global team. The Relay Trust in TTS (Transportation Technology and Services ) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with. In this role as Sr. Manager, Program Manager, you will lead a team responsible for analyzing and identifying specific instances of risk, broader risk trends and points of customer friction, as well as developing scalable solutions for prevention. You will need to collaborate effectively with cross-functional teams worldwide and within Middle Mile Transportation Technology to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions", "matched_input": "machine", "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.e0a03c4dd380a91673", "query_id": "gq_2fef1c75767c6f126121", "job_id": "9903b05b259272903b455effbbe1afe1", "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.b061a0ae2f4b1acd4b", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "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/3169001/sr-manager-program-management-relay-trust", "source_values": [ "llm:greenfield:inv_371_postfix" ], "checked_at": "2026-06-07T00:00:00Z" } } } ], "total": 56, "page": 1, "per_page": 24, "applied_filters": { "q": "Thought Machine", "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": [ "thought", "machine" ], "active_filter_keys": [ "verified_benefits_only" ], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": null }