{ "results": [ { "id": "f5f46eb68dd3b6bcde7c0bf4a52ed1e4", "title": "3M- ISD -Paper & Print Sales Specialist", "employer_name": "3M", "employer_slug": "3m", "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": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://3m.wd1.myworkdayjobs.com/Search/job/IN-Maharashtra-Mumbai/XMLNAME-3M--ISD--Paper---Print-Sales-Specialist_R01163407", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "3M- ISD -Paper & Print Sales Specialist 5 Locations posted: Posted 30+ Days Ago", "parental_leave_weeks": 10, "non_birth_parent_leave_weeks": 10, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.3m.com/3M/en_US/sustainability-us/our-workplace/our-employees/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 85, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "sales", "company_stage": null, "company_stage_source": null, "employer_industry": "Industrial", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2d7fbb195088f29376", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f5f46eb68dd3b6bcde7c0bf4a52ed1e4", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "3M- ISD -Paper & Print Sales Specialist 5 Locations posted: Posted 30+ Days Ago", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:f5f46eb68dd3b6bcde7c0bf4a52ed1e4:description:paper", "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.7be91b06d96278eb08", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f5f46eb68dd3b6bcde7c0bf4a52ed1e4", "signal_type": "query_match", "display_text": "Title: \"paper\"", "tooltip": "Title matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "title", "source_value": "3M- ISD -Paper & Print Sales Specialist", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:f5f46eb68dd3b6bcde7c0bf4a52ed1e4:title:paper", "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.5cc52a0a5113032c99", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f5f46eb68dd3b6bcde7c0bf4a52ed1e4", "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": "3M- ISD -Paper & Print Sales Specialist", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b787d25de3bc449bf3b96462", "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.02e8ce579ba01a499b", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f5f46eb68dd3b6bcde7c0bf4a52ed1e4", "signal_type": "query_match", "display_text": "Title: \"paper\"", "tooltip": "Title contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "title", "source_value": "3M- ISD -Paper & Print Sales Specialist", "matched_input": "paper", "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.5ef029fded55b91720", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f5f46eb68dd3b6bcde7c0bf4a52ed1e4", "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.d16f685ed7dc05077e", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "5850d8820f585eb7a9ca3c39fd2b0632", "title": "Senior Public Affairs & Stakeholder Manager (f/m/d) - Technology Policy (based in Berlin)", "employer_name": "SAP", "employer_slug": "sap", "location_text": "Region Europe | Country Germany | Internal Posting Location Berlin", "country": "DE", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Berlin-Senior-Public-Affairs-&-Stakeholder-Manager-%28fmd%29-Technology-Policy-%28based-in-Berlin%29-10557/1384179633/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Public Affairs & Stakeholder Manager (f/m/d) - Technology Policy (based in Berlin) Region Europe | Country Germany | Internal Posting Location Berlin We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Key Responsibilites: Stakeholder Engagement & Representation: Build and maintain strong relationships with political stakeholders at federal level (e.g. members of parliament, ministries, agencies, party representatives) Represent the organization in political working groups, consultations and relevant forums Policy & Content Leadership: Lead political engagement on key technical topics (e.g. IPCEIs, Industrie 4.0), in industrial AI and applied business AI Develop high-quality position papers, briefings and talking points to support strategic initiatives Cross-functional Collaboration & Strategic Impact: Collaborate closely with engineering, legal, product and communications teams to translate complex topics into clear recommendations and actionable strategies Identify funding opportunities and strategic partnerships within the political and public sector landscape Design and execute targeted stakeholder engagement formats to effectively position and advance strategic priorities What", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "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" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "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" }, "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" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.d6c9ecc01351a9184b", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "5850d8820f585eb7a9ca3c39fd2b0632", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Public Affairs & Stakeholder Manager (f/m/d) - Technology Policy (based in Berlin) Region Europe | Country Germany | Internal Posting Location Berlin We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Key Responsibilites: Stakeholder Engagement & Representation: Build and maintain strong relationships with political stakeholders at federal level (e.g. members of parliament, ministries, agencies, party representatives) Represent the organization in political working groups, consultations and relevant forums Policy & Content Leadership: Lead political engagement on key technical topics (e.g. IPCEIs, Industrie 4.0), in industrial AI and applied business AI Develop high-quality position papers, briefings and talking points to support strategic initiatives Cross-functional Collaboration & Strategic Impact: Collaborate closely with engineering, legal, product and communications teams to translate complex topics into clear recommendations and actionable strategies Identify funding opportunities and strategic partnerships within the political and public sector landscape Design and execute targeted stakeholder engagement formats to effectively position and advance strategic priorities What", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:5850d8820f585eb7a9ca3c39fd2b0632:description:paper", "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.524e56eed46d6760b5", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "5850d8820f585eb7a9ca3c39fd2b0632", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Public Affairs & Stakeholder Manager (f/m/d) - Technology Policy (based in Berlin) Region Europe | Country Germany | Internal Posting Location Berlin We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Key Responsibilites: Stakeholder Engagement & Representation: Build and maintain strong relationships with political stakeholders at federal level (e.g. members of parliament, ministries, agencies, party representatives) Represent the organization in political working groups, consultations and relevant forums Policy & Content Leadership: Lead political engagement on key technical topics (e.g. IPCEIs, Industrie 4.0), in industrial AI and applied business AI Develop high-quality position papers, briefings and talking points to support strategic initiatives Cross-functional Collaboration & Strategic Impact: Collaborate closely with engineering, legal, product and communications teams to translate complex topics into clear recommendations and actionable strategies Identify funding opportunities and strategic partnerships within the political and public sector landscape Design and execute targeted stakeholder engagement formats to effectively position and advance strategic priorities What", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:728056ef048771ce6006c688", "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.a24b4f9c3b6f421b88", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "5850d8820f585eb7a9ca3c39fd2b0632", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Public Affairs & Stakeholder Manager (f/m/d) - Technology Policy (based in Berlin) Region Europe | Country Germany | Internal Posting Location Berlin We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Key Responsibilites: Stakeholder Engagement & Representation: Build and maintain strong relationships with political stakeholders at federal level (e.g. members of parliament, ministries, agencies, party representatives) Represent the organization in political working groups, consultations and relevant forums Policy & Content Leadership: Lead political engagement on key technical topics (e.g. IPCEIs, Industrie 4.0), in industrial AI and applied business AI Develop high-quality position papers, briefings and talking points to support strategic initiatives Cross-functional Collaboration & Strategic Impact: Collaborate closely with engineering, legal, product and communications teams to translate complex topics into clear recommendations and actionable strategies Identify funding opportunities and strategic partnerships within the political and public sector landscape Design and execute targeted stakeholder engagement formats to effectively position and advance strategic priorities What", "matched_input": "paper", "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.839ea6df0ed4b65ef6", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "5850d8820f585eb7a9ca3c39fd2b0632", "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.d9e10047dc8525fc75", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "60d95faaa8be3bfcf7e846bd52fdea32", "title": "2026 Intern - MPU Systems Engineer Intern", "employer_name": "NXP Semiconductors", "employer_slug": "nxp-semiconductors", "location_text": "Tianjin (Weiwu)", "country": "unknown", "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": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-27T00:00:00.000Z", "apply_url": "https://nxp.wd3.myworkdayjobs.com/Careers/job/Tianjin-Weiwu/XMLNAME-2026-Intern---MPU-Systems-Engineer-Intern_R-10063392", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "2026 Intern - MPU Systems Engineer Intern Tianjin (Weiwu) posted: Posted 16 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.nxp.com.cn/docs/en/company-information/benefits/PARENTAL-LEAVE-POLICY-2024.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.da966cd2d86c5dc232", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "60d95faaa8be3bfcf7e846bd52fdea32", "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": "2026 Intern - MPU Systems Engineer Intern", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:14a037ebeb378e4b16afc1a8", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.fc51519ea14f8eb039", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "60d95faaa8be3bfcf7e846bd52fdea32", "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.c253a2f5dd0f5663b0", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "6e67dc1ff278fd9fa05b5da540d0a426", "title": "Senior Government Affairs Manager (m/w/d)", "employer_name": "AbbVie Inc.", "employer_slug": "abbvie", "location_text": "Vienna, Vienna, Austria", "country": "AT", "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": 2471, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "EUR", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "month", "base_salary_min": 2471, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.smartrecruiters.com/AbbVie/3743990013398886-senior-government-affairs-manager-m-w-d-", "apply_url_verified": false, "ats": "smartrecruiters", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Government Affairs Manager (m/w/d) Vienna, Vienna, Austria Unternehmensbeschreibung: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Stellenbeschreibung: The Senior Government Affairs Manager, Austria is responsible for developing and executing the company's government affairs strategy in Austria. This role provides expert policy analysis, leads advocacy initiatives, and builds effective relationships with government officials, trade associations, industry partners, and key external stakeholders. The position works closely with internal business leaders to ensure alignment on public policy priorities, regulatory developments, and business objectives. Key Responsibilities Develop and implement a proactive government affairs strategy for Austria aligned with business priorities. Monitor, analyze, and interpret legislative, regulatory, and policy developments relevant to the business. Advocate company positions with government authorities, policymakers, and relevant institutions. Build and maintain strong relationships with external stakeholders, including ministries, regulators, industry groups, and trade associations. Represent the company in trade association meetings, working groups, and policy forums. Lead issue management and policy positioning on matters of strategic importance. Partner with cross-functional teams, including Legal, Compliance, External Affairs, Communications, Market Access, and Business Units. Prepare high-quality briefing materials, position papers,", "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://www.abbvie.com/join-us/life-at-abbvie/well-being-in-the-workplace.html", "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": "senior", "years_experience_min": 10, "years_experience_max": 14, "role_function": "other", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "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": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.32ef03929a74f5353d", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "6e67dc1ff278fd9fa05b5da540d0a426", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Government Affairs Manager (m/w/d) Vienna, Vienna, Austria Unternehmensbeschreibung: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Stellenbeschreibung: The Senior Government Affairs Manager, Austria is responsible for developing and executing the company's government affairs strategy in Austria. This role provides expert policy analysis, leads advocacy initiatives, and builds effective relationships with government officials, trade associations, industry partners, and key external stakeholders. The position works closely with internal business leaders to ensure alignment on public policy priorities, regulatory developments, and business objectives. Key Responsibilities Develop and implement a proactive government affairs strategy for Austria aligned with business priorities. Monitor, analyze, and interpret legislative, regulatory, and policy developments relevant to the business. Advocate company positions with government authorities, policymakers, and relevant institutions. Build and maintain strong relationships with external stakeholders, including ministries, regulators, industry groups, and trade associations. Represent the company in trade association meetings, working groups, and policy forums. Lead issue management and policy positioning on matters of strategic importance. Partner with cross-functional teams, including Legal, Compliance, External Affairs, Communications, Market Access, and Business Units. Prepare high-quality briefing materials, position papers,", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:6e67dc1ff278fd9fa05b5da540d0a426:description:paper", "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.b1fb11762a0466464c", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "6e67dc1ff278fd9fa05b5da540d0a426", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Government Affairs Manager (m/w/d) Vienna, Vienna, Austria Unternehmensbeschreibung: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Stellenbeschreibung: The Senior Government Affairs Manager, Austria is responsible for developing and executing the company's government affairs strategy in Austria. This role provides expert policy analysis, leads advocacy initiatives, and builds effective relationships with government officials, trade associations, industry partners, and key external stakeholders. The position works closely with internal business leaders to ensure alignment on public policy priorities, regulatory developments, and business objectives. Key Responsibilities Develop and implement a proactive government affairs strategy for Austria aligned with business priorities. Monitor, analyze, and interpret legislative, regulatory, and policy developments relevant to the business. Advocate company positions with government authorities, policymakers, and relevant institutions. Build and maintain strong relationships with external stakeholders, including ministries, regulators, industry groups, and trade associations. Represent the company in trade association meetings, working groups, and policy forums. Lead issue management and policy positioning on matters of strategic importance. Partner with cross-functional teams, including Legal, Compliance, External Affairs, Communications, Market Access, and Business Units. Prepare high-quality briefing materials, position papers,", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0bb4cdf76a7338788e0b20e7", "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.0c1b193da08dc55cf2", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "6e67dc1ff278fd9fa05b5da540d0a426", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Government Affairs Manager (m/w/d) Vienna, Vienna, Austria Unternehmensbeschreibung: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Stellenbeschreibung: The Senior Government Affairs Manager, Austria is responsible for developing and executing the company's government affairs strategy in Austria. This role provides expert policy analysis, leads advocacy initiatives, and builds effective relationships with government officials, trade associations, industry partners, and key external stakeholders. The position works closely with internal business leaders to ensure alignment on public policy priorities, regulatory developments, and business objectives. Key Responsibilities Develop and implement a proactive government affairs strategy for Austria aligned with business priorities. Monitor, analyze, and interpret legislative, regulatory, and policy developments relevant to the business. Advocate company positions with government authorities, policymakers, and relevant institutions. Build and maintain strong relationships with external stakeholders, including ministries, regulators, industry groups, and trade associations. Represent the company in trade association meetings, working groups, and policy forums. Lead issue management and policy positioning on matters of strategic importance. Partner with cross-functional teams, including Legal, Compliance, External Affairs, Communications, Market Access, and Business Units. Prepare high-quality briefing materials, position papers,", "matched_input": "paper", "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.5582bf57c040a50177", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "6e67dc1ff278fd9fa05b5da540d0a426", "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.7fbfa9b9b10daea2d0", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "f3f569637f98db1ae8396f7bc0197a51", "title": "2026 Intern- Digital/Mixed-signal Design Intern", "employer_name": "NXP Semiconductors", "employer_slug": "nxp-semiconductors", "location_text": "Tianjin (Teda)", "country": "unknown", "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": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://nxp.wd3.myworkdayjobs.com/Careers/job/Tianjin-Teda/XMLNAME-2025-Intern--Digital-Mixed-signal-Design-Intern_R-10059009-1", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "2026 Intern- Digital/Mixed-signal Design Intern Tianjin (Teda) 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.nxp.com.cn/docs/en/company-information/benefits/PARENTAL-LEAVE-POLICY-2024.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "marketing", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.ef6b748a7bc3f62409", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f3f569637f98db1ae8396f7bc0197a51", "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": "2026 Intern- Digital/Mixed-signal Design Intern", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:41750ea75dea739626eeaefd", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.aaf6d1d3849cc06a49", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f3f569637f98db1ae8396f7bc0197a51", "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.a5700a0f6476d7d65b", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "be72073b0f86601d790045f1f3dd303b", "title": "Government Affairs Intern | CDMX", "employer_name": "Boston Scientific", "employer_slug": "boston-scientific", "location_text": "Benito Juarez Df", "country": "unknown", "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": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.bostonscientific.com/job/Benito-Ju%C3%A1rez%2C-DF-Government-Affairs-Intern-CDMX/1382717000/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Government Affairs Intern | CDMX Benito Juarez Df Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. Position Summary: We are looking for an analytical and policy-driven student to join our Government Affairs team. The primary goal is to support the strategic monitoring of the legislative agenda and the development of institutional positions that strengthen Boston Scientific's presence within the Mexican healthcare sector. Key Responsibilities: Strategic Monitoring: Daily tracking of the legislative and government agenda, focusing on the \"Plan México,\" USMCA (T-MEC) commitments, and public health policies impacting the medical device sector. Research & Analysis: Conduct in-depth research on regulatory trends and legal framework changes within the therapeutic areas where Boston Scientific operates. Risk & Opportunity Identification: Proactively identify initiatives or changes in public procurement policies that may affect the business. Content Generation: Assist in drafting \"Position Papers\" and institutional documents. Develop value propositions with a focus on Value-Based Healthcare, integrating econo", "parental_leave_weeks": 8, "non_birth_parent_leave_weeks": 8, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.bostonscientific.com/content/dam/bostonscientific/corporate/citizenship/sustainability/2019_Boston_Scientific_Performance_Report.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 81, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "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" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "contractor_type": { "field": "contractor_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "contractor_type" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "other", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.91b4fdf9522defb889", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "be72073b0f86601d790045f1f3dd303b", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Government Affairs Intern | CDMX Benito Juarez Df Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. Position Summary: We are looking for an analytical and policy-driven student to join our Government Affairs team. The primary goal is to support the strategic monitoring of the legislative agenda and the development of institutional positions that strengthen Boston Scientific's presence within the Mexican healthcare sector. Key Responsibilities: Strategic Monitoring: Daily tracking of the legislative and government agenda, focusing on the \"Plan México,\" USMCA (T-MEC) commitments, and public health policies impacting the medical device sector. Research & Analysis: Conduct in-depth research on regulatory trends and legal framework changes within the therapeutic areas where Boston Scientific operates. Risk & Opportunity Identification: Proactively identify initiatives or changes in public procurement policies that may affect the business. Content Generation: Assist in drafting \"Position Papers\" and institutional documents. Develop value propositions with a focus on Value-Based Healthcare, integrating econo", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:be72073b0f86601d790045f1f3dd303b:description:paper", "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.0e1ee3813d13a91ef5", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "be72073b0f86601d790045f1f3dd303b", "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": "Government Affairs Intern | CDMX Benito Juarez Df Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. Position Summary: We are looking for an analytical and policy-driven student to join our Government Affairs team. The primary goal is to support the strategic monitoring of the legislative agenda and the development of institutional positions that strengthen Boston Scientific's presence within the Mexican healthcare sector. Key Responsibilities: Strategic Monitoring: Daily tracking of the legislative and government agenda, focusing on the \"Plan México,\" USMCA (T-MEC) commitments, and public health policies impacting the medical device sector. Research & Analysis: Conduct in-depth research on regulatory trends and legal framework changes within the therapeutic areas where Boston Scientific operates. Risk & Opportunity Identification: Proactively identify initiatives or changes in public procurement policies that may affect the business. Content Generation: Assist in drafting \"Position Papers\" and institutional documents. Develop value propositions with a focus on Value-Based Healthcare, integrating econo", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:016c787a0ea8fc77f4f703f1", "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.1cfb6072ca49ec0d4d", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "be72073b0f86601d790045f1f3dd303b", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Government Affairs Intern | CDMX Benito Juarez Df Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. Position Summary: We are looking for an analytical and policy-driven student to join our Government Affairs team. The primary goal is to support the strategic monitoring of the legislative agenda and the development of institutional positions that strengthen Boston Scientific's presence within the Mexican healthcare sector. Key Responsibilities: Strategic Monitoring: Daily tracking of the legislative and government agenda, focusing on the \"Plan México,\" USMCA (T-MEC) commitments, and public health policies impacting the medical device sector. Research & Analysis: Conduct in-depth research on regulatory trends and legal framework changes within the therapeutic areas where Boston Scientific operates. Risk & Opportunity Identification: Proactively identify initiatives or changes in public procurement policies that may affect the business. Content Generation: Assist in drafting \"Position Papers\" and institutional documents. Develop value propositions with a focus on Value-Based Healthcare, integrating econo", "matched_input": "paper", "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.967f711f2b5422d457", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "be72073b0f86601d790045f1f3dd303b", "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.2952c2649a8e950fde", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "9e96c2204c02a612b18025520a837e9d", "title": "Research Engineer, Multi Agent Learning, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "location_text": "London, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T14:38:25.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUVJ_fknRwwmzUD3BRPBd4cXgsMY-CeoWW0H6HYfyIR-EjsACxwdTJpPXz94VGDBP_tRaCrEhEK8Pog-XqS-3A5DFl5KIBrdSmRFx1qBHXyXDBwSTM8pYeTNohvdPQ%3D%3D_V2&loc=GB&title=Research+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, Multi Agent Learning, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in Just-In-Time (JIT) compilation, Autograd, and XLA (JAX). Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" } }, "seniority": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "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": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0dacc9f816cb583961", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "9e96c2204c02a612b18025520a837e9d", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Research Engineer, Multi Agent Learning, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in Just-In-Time (JIT) compilation, Autograd, and XLA (JAX). Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:9e96c2204c02a612b18025520a837e9d:description:paper", "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.adc72b224322ccb29b", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "9e96c2204c02a612b18025520a837e9d", "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": "Research Engineer, Multi Agent Learning, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in Just-In-Time (JIT) compilation, Autograd, and XLA (JAX). Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:d37f689891d83cf75a01ad01", "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.b00fd6b13bb7637f1f", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "9e96c2204c02a612b18025520a837e9d", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Research Engineer, Multi Agent Learning, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in Just-In-Time (JIT) compilation, Autograd, and XLA (JAX). Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on", "matched_input": "paper", "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.5c990a6fc69558cd18", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "9e96c2204c02a612b18025520a837e9d", "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.4c68b34878f93cefec", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "fe427718badcf631ebba02725a0228ce", "title": "Research Engineer, Responsibility Engineering, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "location_text": "London, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-18T09:29:31.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckTaYTwVA6LM-Cvl0uhb757BD6SsAlPvKQlKRoa7UAfWJEjsACxwdTOGY867rVHwVCh319rIAqUgSNWgvwK8iiS1IE7VpZ3iDXps_0Ll5WmnNx1xuYeEPr2daKcbPnw%3D%3D_V2&loc=GB&title=Research+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, Responsibility Engineering, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Prototype and deliver scalable engineering solutions rapidly. Architect and optimize training and inference pipelines to evaluate the frontier language models. Develop post-training strategies to mitigate adversarial risks including jailbreak and prompt injection attacks. Collaborate with Research Scientists to translate safety", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "years_experience_min": 8, "years_experience_max": 12, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "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": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f9b54adbae0501ffe0", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "fe427718badcf631ebba02725a0228ce", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Research Engineer, Responsibility Engineering, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Prototype and deliver scalable engineering solutions rapidly. Architect and optimize training and inference pipelines to evaluate the frontier language models. Develop post-training strategies to mitigate adversarial risks including jailbreak and prompt injection attacks. Collaborate with Research Scientists to translate safety", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:fe427718badcf631ebba02725a0228ce:description:paper", "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.af122bfbac728dcbbf", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "fe427718badcf631ebba02725a0228ce", "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": "Research Engineer, Responsibility Engineering, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Prototype and deliver scalable engineering solutions rapidly. Architect and optimize training and inference pipelines to evaluate the frontier language models. Develop post-training strategies to mitigate adversarial risks including jailbreak and prompt injection attacks. Collaborate with Research Scientists to translate safety", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:67c1d31ac59207b6f63a1eaf", "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.d076055fba03b21018", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "fe427718badcf631ebba02725a0228ce", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Research Engineer, Responsibility Engineering, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Prototype and deliver scalable engineering solutions rapidly. Architect and optimize training and inference pipelines to evaluate the frontier language models. Develop post-training strategies to mitigate adversarial risks including jailbreak and prompt injection attacks. Collaborate with Research Scientists to translate safety", "matched_input": "paper", "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.f611c35eafa62fc069", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "fe427718badcf631ebba02725a0228ce", "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.6ee776854bf5578609", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "2523f6a9d233933bcc1bb100c2b6f082", "title": "Research Engineer, Security and Privacy, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "location_text": "New York, NY, USA; +1 more", "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": 174000, "salary_max": 253000, "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": 174000, "base_salary_max": 253000, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-04T21:11:38.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckS-x1JQ7h9ASmaaVp04NStsk3CBn7lBNtRw3VA_VFY-iEjsACxwdTA9zBcJBOpHKD9EramcDXV7YYhXSgUxSrml0JiYv9rHCFDHwS7yUX111-xKyH9wROOfcSirqoQ%3D%3D_V2&loc=US&title=Research+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, Security and Privacy, DeepMind New York, NY, USA; +1 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The frontier of agentic capabilities is defined by empirical limits; we push models there systematically. As a core engine of the Gemini development cycle, we leverage automated red-teaming to expose sophisticated adversarial vulnerabilities and elucidate distinct failure modes. Our evaluations power the primary leaderboards that model training climbs against. By rigorously measuring failing modes, we directly shape defensive mitigations and steer the broader optimization space. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest", "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": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3e0a4b35ba1136b0df", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "2523f6a9d233933bcc1bb100c2b6f082", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Research Engineer, Security and Privacy, DeepMind New York, NY, USA; +1 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The frontier of agentic capabilities is defined by empirical limits; we push models there systematically. As a core engine of the Gemini development cycle, we leverage automated red-teaming to expose sophisticated adversarial vulnerabilities and elucidate distinct failure modes. Our evaluations power the primary leaderboards that model training climbs against. By rigorously measuring failing modes, we directly shape defensive mitigations and steer the broader optimization space. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:2523f6a9d233933bcc1bb100c2b6f082:description:paper", "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.5926167d897a6ce868", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "2523f6a9d233933bcc1bb100c2b6f082", "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": "Research Engineer, Security and Privacy, DeepMind New York, NY, USA; +1 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The frontier of agentic capabilities is defined by empirical limits; we push models there systematically. As a core engine of the Gemini development cycle, we leverage automated red-teaming to expose sophisticated adversarial vulnerabilities and elucidate distinct failure modes. Our evaluations power the primary leaderboards that model training climbs against. By rigorously measuring failing modes, we directly shape defensive mitigations and steer the broader optimization space. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3d5f628f89c7ffa0a293dd2c", "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.7f2661ca6c0f246129", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "2523f6a9d233933bcc1bb100c2b6f082", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Research Engineer, Security and Privacy, DeepMind New York, NY, USA; +1 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The frontier of agentic capabilities is defined by empirical limits; we push models there systematically. As a core engine of the Gemini development cycle, we leverage automated red-teaming to expose sophisticated adversarial vulnerabilities and elucidate distinct failure modes. Our evaluations power the primary leaderboards that model training climbs against. By rigorously measuring failing modes, we directly shape defensive mitigations and steer the broader optimization space. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest", "matched_input": "paper", "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.36ef9c3098ad524860", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "2523f6a9d233933bcc1bb100c2b6f082", "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.f2d8ba16fab4ee05ae", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "9da192e37cc3ba79e6eea86d248fcb21", "title": "Technical Communications Manager, Technology and Society", "employer_name": "Google", "employer_slug": "google", "location_text": "San Francisco, CA, USA; +2 more", "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": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-04T20:11:51.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckXrWDNIvoRj0tOgRyQEBP5CG6c1Tu3vy7n0ZTYvxKtwfEjsACxwdTEmRJqi7CpDbUzsCMQOi1-Mrnz93e9xDipD9RU1WfrELkfrfhSiF-KO9b8MxRUf_LGZCNcdL-g%3D%3D_V2&loc=US&title=Technical+Communications+Manager", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Technical Communications Manager, Technology and Society San Francisco, CA, USA; +2 more As a member of the Global Communications & Public Affairs team, you will work cross-functionally to help communicate with journalists and other thought leaders; devise specific communications materials and campaigns; engage in face-to-face meetings with commentators and other opinion formers; and develop print and web-based material supporting these campaigns. We're looking for great communicators who can understand complex issues and explain them in person and also via well written, simple blog posts, FAQs, video scripts and more. As the Technical Communications Manager for Technology & Society, you will sit at the intersection of breakthrough innovation and its broader impact on the world. You will work closely with researchers, engineers, and policy experts to demystify complex technical developments and frontier AI research. You are a storyteller who can navigate high-level technical white papers and prestigious scientific journals as easily as a media briefing. You will develop communication strategies that emphasize transparency, rigour, and the human impact of the work. Whether you are breaking down the benefits of new AI compression techniques, explaining next-generation neural architectures, or exploring the evolutionary philosophy of Artificial Intelligence (AI), you will ensure the technical progress is understood and contextualized within the broader societal, press and competitive landscape. It's our job to help inform and educate users, advertisers, partners, opinion leaders--and our own employees--about the benefits of Google's products, our distinctive company culture/values, and our approach to the big public policy issues of the day.", "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": "senior", "years_experience_min": 7, "years_experience_max": 11, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8ab0c40a34c33271bc", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "9da192e37cc3ba79e6eea86d248fcb21", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Technical Communications Manager, Technology and Society San Francisco, CA, USA; +2 more As a member of the Global Communications & Public Affairs team, you will work cross-functionally to help communicate with journalists and other thought leaders; devise specific communications materials and campaigns; engage in face-to-face meetings with commentators and other opinion formers; and develop print and web-based material supporting these campaigns. We're looking for great communicators who can understand complex issues and explain them in person and also via well written, simple blog posts, FAQs, video scripts and more. As the Technical Communications Manager for Technology & Society, you will sit at the intersection of breakthrough innovation and its broader impact on the world. You will work closely with researchers, engineers, and policy experts to demystify complex technical developments and frontier AI research. You are a storyteller who can navigate high-level technical white papers and prestigious scientific journals as easily as a media briefing. You will develop communication strategies that emphasize transparency, rigour, and the human impact of the work. Whether you are breaking down the benefits of new AI compression techniques, explaining next-generation neural architectures, or exploring the evolutionary philosophy of Artificial Intelligence (AI), you will ensure the technical progress is understood and contextualized within the broader societal, press and competitive landscape. It's our job to help inform and educate users, advertisers, partners, opinion leaders--and our own employees--about the benefits of Google's products, our distinctive company culture/values, and our approach to the big public policy issues of the day.", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:9da192e37cc3ba79e6eea86d248fcb21:description:paper", "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.3f130bf1110d2cfebe", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "9da192e37cc3ba79e6eea86d248fcb21", "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": "Technical Communications Manager, Technology and Society San Francisco, CA, USA; +2 more As a member of the Global Communications & Public Affairs team, you will work cross-functionally to help communicate with journalists and other thought leaders; devise specific communications materials and campaigns; engage in face-to-face meetings with commentators and other opinion formers; and develop print and web-based material supporting these campaigns. We're looking for great communicators who can understand complex issues and explain them in person and also via well written, simple blog posts, FAQs, video scripts and more. As the Technical Communications Manager for Technology & Society, you will sit at the intersection of breakthrough innovation and its broader impact on the world. You will work closely with researchers, engineers, and policy experts to demystify complex technical developments and frontier AI research. You are a storyteller who can navigate high-level technical white papers and prestigious scientific journals as easily as a media briefing. You will develop communication strategies that emphasize transparency, rigour, and the human impact of the work. Whether you are breaking down the benefits of new AI compression techniques, explaining next-generation neural architectures, or exploring the evolutionary philosophy of Artificial Intelligence (AI), you will ensure the technical progress is understood and contextualized within the broader societal, press and competitive landscape. It's our job to help inform and educate users, advertisers, partners, opinion leaders--and our own employees--about the benefits of Google's products, our distinctive company culture/values, and our approach to the big public policy issues of the day.", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:8455c871133113c1523d318f", "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.97904d30bd7ce3f479", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "9da192e37cc3ba79e6eea86d248fcb21", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Technical Communications Manager, Technology and Society San Francisco, CA, USA; +2 more As a member of the Global Communications & Public Affairs team, you will work cross-functionally to help communicate with journalists and other thought leaders; devise specific communications materials and campaigns; engage in face-to-face meetings with commentators and other opinion formers; and develop print and web-based material supporting these campaigns. We're looking for great communicators who can understand complex issues and explain them in person and also via well written, simple blog posts, FAQs, video scripts and more. As the Technical Communications Manager for Technology & Society, you will sit at the intersection of breakthrough innovation and its broader impact on the world. You will work closely with researchers, engineers, and policy experts to demystify complex technical developments and frontier AI research. You are a storyteller who can navigate high-level technical white papers and prestigious scientific journals as easily as a media briefing. You will develop communication strategies that emphasize transparency, rigour, and the human impact of the work. Whether you are breaking down the benefits of new AI compression techniques, explaining next-generation neural architectures, or exploring the evolutionary philosophy of Artificial Intelligence (AI), you will ensure the technical progress is understood and contextualized within the broader societal, press and competitive landscape. It's our job to help inform and educate users, advertisers, partners, opinion leaders--and our own employees--about the benefits of Google's products, our distinctive company culture/values, and our approach to the big public policy issues of the day.", "matched_input": "paper", "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.9f14b8bf296690875c", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "9da192e37cc3ba79e6eea86d248fcb21", "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.267b87718f83e29dcc", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "e4fc768e4f4d06fd230bbfefb84d534c", "title": "Senior Technical Specialist", "employer_name": "Teradyne", "employer_slug": "teradyne", "location_text": "Songpa Gu Seoul", "country": "KR", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": 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/Songpa-gu%2C-Seoul-Senior-Technical-Specialist/1385978800/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Technical Specialist Songpa Gu Seoul This GCS technical specialist position delivers technical expertise for solution implementation to internal team engineers and external customers based on Teradyne product and service. It provides support for assessment of customer needs, implementation of the solutions as well as product release support. Major Responsibilities: Monitor field engineers skillset by skill-level definition and propose suitable training to enhance engineers skillset. Consolidate similar field issues together and perform knowledge sharing/learning with all engineers. Monitoring/checking in-site related process and provide appropriate suggestion in problem solving, communication, escalation, etc... The specialist will join such critical/key issues discussion and to be the bridge between PSG/factory experts and field service team.. Perform field Forum seminar with all team members every year. The field specialist is the coordinator to perform paper review with team leads and host seminar proceeding. Coordinate/report regional retrofit progress (PIP & PUP) and performing status update. Join key activities in all regions and provide suggestion/observation to management team. Technical Requirements: Familiar with ATEs and production environment. Knowledge of troubleshooting process and skills. Knowledge of Load board schematics design and layout. Knowledge of IC test theory. Device correlation and test program release experience. Driver and UI knowledge. Basic Requirements: Bachelor degree or above in", "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" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "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" } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "other", "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_size": null, "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": 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.b773e7483af58d072f", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "e4fc768e4f4d06fd230bbfefb84d534c", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Technical Specialist Songpa Gu Seoul This GCS technical specialist position delivers technical expertise for solution implementation to internal team engineers and external customers based on Teradyne product and service. It provides support for assessment of customer needs, implementation of the solutions as well as product release support. Major Responsibilities: Monitor field engineers skillset by skill-level definition and propose suitable training to enhance engineers skillset. Consolidate similar field issues together and perform knowledge sharing/learning with all engineers. Monitoring/checking in-site related process and provide appropriate suggestion in problem solving, communication, escalation, etc... The specialist will join such critical/key issues discussion and to be the bridge between PSG/factory experts and field service team.. Perform field Forum seminar with all team members every year. The field specialist is the coordinator to perform paper review with team leads and host seminar proceeding. Coordinate/report regional retrofit progress (PIP & PUP) and performing status update. Join key activities in all regions and provide suggestion/observation to management team. Technical Requirements: Familiar with ATEs and production environment. Knowledge of troubleshooting process and skills. Knowledge of Load board schematics design and layout. Knowledge of IC test theory. Device correlation and test program release experience. Driver and UI knowledge. Basic Requirements: Bachelor degree or above in", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:e4fc768e4f4d06fd230bbfefb84d534c:description:paper", "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.7813ecaeb0448685cc", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "e4fc768e4f4d06fd230bbfefb84d534c", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Technical Specialist Songpa Gu Seoul This GCS technical specialist position delivers technical expertise for solution implementation to internal team engineers and external customers based on Teradyne product and service. It provides support for assessment of customer needs, implementation of the solutions as well as product release support. Major Responsibilities: Monitor field engineers skillset by skill-level definition and propose suitable training to enhance engineers skillset. Consolidate similar field issues together and perform knowledge sharing/learning with all engineers. Monitoring/checking in-site related process and provide appropriate suggestion in problem solving, communication, escalation, etc... The specialist will join such critical/key issues discussion and to be the bridge between PSG/factory experts and field service team.. Perform field Forum seminar with all team members every year. The field specialist is the coordinator to perform paper review with team leads and host seminar proceeding. Coordinate/report regional retrofit progress (PIP & PUP) and performing status update. Join key activities in all regions and provide suggestion/observation to management team. Technical Requirements: Familiar with ATEs and production environment. Knowledge of troubleshooting process and skills. Knowledge of Load board schematics design and layout. Knowledge of IC test theory. Device correlation and test program release experience. Driver and UI knowledge. Basic Requirements: Bachelor degree or above in", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:978986b8d0e3f16def5b3f15", "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.52d008880479d7f04e", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "e4fc768e4f4d06fd230bbfefb84d534c", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Technical Specialist Songpa Gu Seoul This GCS technical specialist position delivers technical expertise for solution implementation to internal team engineers and external customers based on Teradyne product and service. It provides support for assessment of customer needs, implementation of the solutions as well as product release support. Major Responsibilities: Monitor field engineers skillset by skill-level definition and propose suitable training to enhance engineers skillset. Consolidate similar field issues together and perform knowledge sharing/learning with all engineers. Monitoring/checking in-site related process and provide appropriate suggestion in problem solving, communication, escalation, etc... The specialist will join such critical/key issues discussion and to be the bridge between PSG/factory experts and field service team.. Perform field Forum seminar with all team members every year. The field specialist is the coordinator to perform paper review with team leads and host seminar proceeding. Coordinate/report regional retrofit progress (PIP & PUP) and performing status update. Join key activities in all regions and provide suggestion/observation to management team. Technical Requirements: Familiar with ATEs and production environment. Knowledge of troubleshooting process and skills. Knowledge of Load board schematics design and layout. Knowledge of IC test theory. Device correlation and test program release experience. Driver and UI knowledge. Basic Requirements: Bachelor degree or above in", "matched_input": "paper", "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.12afd81b5fe6e9d8cf", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "e4fc768e4f4d06fd230bbfefb84d534c", "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.082b998a4ed3158868", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "d1740c6c8edc7933d826328356b24107", "title": "Research Engineer, Pretraining, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "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": 174000, "salary_max": 253000, "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": 174000, "base_salary_max": 253000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-09T13:40:40.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSqbk8O_UBMke1PrcO5R81HM7xy9Fzq_C0bQRVVVFADJEjsACxwdTB62i8R0jumWJDlQoL-yDgVDCYUyKXb2AolbkxhdIr1K3Q7X5LzFuaBr4qGuJRbb82bUkupeIg%3D%3D_V2&loc=US&title=Research+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, Pretraining, DeepMind New York, NY, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Focus on", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 94, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "customer_type": { "field": "customer_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "customer_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": "growth-stage", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.17a541b6671648df26", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "d1740c6c8edc7933d826328356b24107", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Research Engineer, Pretraining, DeepMind New York, NY, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Focus on", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:d1740c6c8edc7933d826328356b24107:description:paper", "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.dd14ab401c21a9ebc2", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "d1740c6c8edc7933d826328356b24107", "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": "Research Engineer, Pretraining, DeepMind New York, NY, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Focus on", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:a2ebb23709925ce3b2e7adcb", "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.3e422bacd64778b444", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "d1740c6c8edc7933d826328356b24107", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Research Engineer, Pretraining, DeepMind New York, NY, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Focus on", "matched_input": "paper", "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.c0222c4607458ffde6", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "d1740c6c8edc7933d826328356b24107", "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.96e6ac9ad783316e59", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "5214d5d4a1f6fd5356e720b9279f70c9", "title": "Research Engineer, Benchmarking, Robotics, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "location_text": "Mountain View, CA, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 147000, "salary_max": 211000, "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": 147000, "base_salary_max": 211000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T14:47:02.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckV7mpenZazyw6WI14bGzqWxl7xtti4WDr1QlVOIu6H58EjsACxwdTO6OdUpi2ChVsajKkeg5AIh-6VUkw33FlJx48HY-TRWo4DN49XN4RSaHJUamyC-rmd4cchHwdw%3D%3D_V2&loc=US&title=Research+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, Benchmarking, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to bring advanced AI into the physical realm by building generalist robots that perceive, reason, and act naturally alongside humans. As a Research Engineer, you will manage the practical challenges of benchmarking foundation models for robotics. You will have an understanding of how modern robotics foundation models work and where they currently fall short. Your mission is to design evaluation protocols, tooling, and frameworks that extract meaningful signals from the messiness of physical policy execution. You will build the infrastructure that allows the engineering team to effectively hillclimb and gives leadership a clear, data-driven understanding of technological readiness. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 94, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "years_experience_min": 2, "years_experience_max": 6, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.990322a7d39758f7d0", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "5214d5d4a1f6fd5356e720b9279f70c9", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Research Engineer, Benchmarking, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to bring advanced AI into the physical realm by building generalist robots that perceive, reason, and act naturally alongside humans. As a Research Engineer, you will manage the practical challenges of benchmarking foundation models for robotics. You will have an understanding of how modern robotics foundation models work and where they currently fall short. Your mission is to design evaluation protocols, tooling, and frameworks that extract meaningful signals from the messiness of physical policy execution. You will build the infrastructure that allows the engineering team to effectively hillclimb and gives leadership a clear, data-driven understanding of technological readiness. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:5214d5d4a1f6fd5356e720b9279f70c9:description:paper", "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.741a663d641adb0ab8", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "5214d5d4a1f6fd5356e720b9279f70c9", "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": "Research Engineer, Benchmarking, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to bring advanced AI into the physical realm by building generalist robots that perceive, reason, and act naturally alongside humans. As a Research Engineer, you will manage the practical challenges of benchmarking foundation models for robotics. You will have an understanding of how modern robotics foundation models work and where they currently fall short. Your mission is to design evaluation protocols, tooling, and frameworks that extract meaningful signals from the messiness of physical policy execution. You will build the infrastructure that allows the engineering team to effectively hillclimb and gives leadership a clear, data-driven understanding of technological readiness. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:7cb059b73d748cee9049b8af", "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.de72be54c9dbc29aec", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "5214d5d4a1f6fd5356e720b9279f70c9", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Research Engineer, Benchmarking, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to bring advanced AI into the physical realm by building generalist robots that perceive, reason, and act naturally alongside humans. As a Research Engineer, you will manage the practical challenges of benchmarking foundation models for robotics. You will have an understanding of how modern robotics foundation models work and where they currently fall short. Your mission is to design evaluation protocols, tooling, and frameworks that extract meaningful signals from the messiness of physical policy execution. You will build the infrastructure that allows the engineering team to effectively hillclimb and gives leadership a clear, data-driven understanding of technological readiness. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to", "matched_input": "paper", "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.b799e49f690be8cd19", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "5214d5d4a1f6fd5356e720b9279f70c9", "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.ab7882b232c0630436", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "1a6e5ab97d8d23af8d1baa7eef1693b2", "title": "Research Engineer, Gemmaverse Variants Research, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "location_text": "Mountain View, CA, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 174000, "salary_max": 253000, "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": 174000, "base_salary_max": 253000, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-04T21:11:52.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckW8lXRigMPvvBMmU99mdWogirjrvuNNVc83M4StZsV0FEjsACxwdTOPSC_xNRgdnXGyL7qmhYccvOhtuwHOU5P-4rv93dPk5M3t8mBRO6yGl6f_vMWgLL6ojz01GQA%3D%3D_V2&loc=US&title=Research+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, Gemmaverse Variants Research, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The Gemmaverse Variants program pursues and supports end-to-end research and landing of high-impact, specialized Gemma variants (e.g., C2SGemma, SignGemma, DolphinGemma), transforming pioneering ideas into beneficial, real-world solutions to human-scale problems. Our mission is to demonstrate the positive power of AI and establish Gemma as the definitive example of “what AI should be used for”, leveraging tight-knit collaborations across GDM units, Google, and external partnerships to develop breakthrough models. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our", "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": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a97a411959c4eb6a99", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "1a6e5ab97d8d23af8d1baa7eef1693b2", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Research Engineer, Gemmaverse Variants Research, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The Gemmaverse Variants program pursues and supports end-to-end research and landing of high-impact, specialized Gemma variants (e.g., C2SGemma, SignGemma, DolphinGemma), transforming pioneering ideas into beneficial, real-world solutions to human-scale problems. Our mission is to demonstrate the positive power of AI and establish Gemma as the definitive example of “what AI should be used for”, leveraging tight-knit collaborations across GDM units, Google, and external partnerships to develop breakthrough models. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:1a6e5ab97d8d23af8d1baa7eef1693b2:description:paper", "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.32c64e1e230f21f9ad", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "1a6e5ab97d8d23af8d1baa7eef1693b2", "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": "Research Engineer, Gemmaverse Variants Research, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The Gemmaverse Variants program pursues and supports end-to-end research and landing of high-impact, specialized Gemma variants (e.g., C2SGemma, SignGemma, DolphinGemma), transforming pioneering ideas into beneficial, real-world solutions to human-scale problems. Our mission is to demonstrate the positive power of AI and establish Gemma as the definitive example of “what AI should be used for”, leveraging tight-knit collaborations across GDM units, Google, and external partnerships to develop breakthrough models. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:4e094f042dc318f0894ef026", "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.0aa39da582266356fb", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "1a6e5ab97d8d23af8d1baa7eef1693b2", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Research Engineer, Gemmaverse Variants Research, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. The Gemmaverse Variants program pursues and supports end-to-end research and landing of high-impact, specialized Gemma variants (e.g., C2SGemma, SignGemma, DolphinGemma), transforming pioneering ideas into beneficial, real-world solutions to human-scale problems. Our mission is to demonstrate the positive power of AI and establish Gemma as the definitive example of “what AI should be used for”, leveraging tight-knit collaborations across GDM units, Google, and external partnerships to develop breakthrough models. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our", "matched_input": "paper", "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.e07a05a5e32cc3e6b3", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "1a6e5ab97d8d23af8d1baa7eef1693b2", "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.21242965e943c7a969", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "fc0c84241d114fdac956c34b2b23677b", "title": "Research Engineer, Embodied Agents, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "location_text": "Mountain View, CA, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 174000, "salary_max": 253000, "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": 174000, "base_salary_max": 253000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-11T20:09:11.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckV5eGgn7jmy9wF3j8ZBhhCIYOK8Foz8ErJ3TkQrj0BLzEjsACxwdTFCeBuJrRI3HjhTRT-jEtqhIZiKVcVSz3TvpuFXUNted86EW2DsxnzMQq4j6plYrdVA3OcI-2A%3D%3D_V2&loc=US&title=Research+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, Embodied Agents, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. At DeepMind Robotics, we are dedicated to solving physical AGI. We are a team of scientists and engineers working together to advance the artificial intelligence, ultimately enabling autonomous agents to safely act in complex, human-centered environments. You will build AI agents that can interact with, learn from, and adapt to their physical/digital environments. You will own the full lifecycle from research prototype to partner deployment advancing core learning systems, building the developer ecosystem, and working directly with partners to put intelligent robots into real environments. The defining issue: closing the gap between what our models can do in simulation and what our robots actually do in the world. This is a role where your work has physical presence the code you write moves robots, the systems you build help", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 94, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b61b2df25b525bd889", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "fc0c84241d114fdac956c34b2b23677b", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Research Engineer, Embodied Agents, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. At DeepMind Robotics, we are dedicated to solving physical AGI. We are a team of scientists and engineers working together to advance the artificial intelligence, ultimately enabling autonomous agents to safely act in complex, human-centered environments. You will build AI agents that can interact with, learn from, and adapt to their physical/digital environments. You will own the full lifecycle from research prototype to partner deployment advancing core learning systems, building the developer ecosystem, and working directly with partners to put intelligent robots into real environments. The defining issue: closing the gap between what our models can do in simulation and what our robots actually do in the world. This is a role where your work has physical presence the code you write moves robots, the systems you build help", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:fc0c84241d114fdac956c34b2b23677b:description:paper", "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.0fcce22ffaf0b60059", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "fc0c84241d114fdac956c34b2b23677b", "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": "Research Engineer, Embodied Agents, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. At DeepMind Robotics, we are dedicated to solving physical AGI. We are a team of scientists and engineers working together to advance the artificial intelligence, ultimately enabling autonomous agents to safely act in complex, human-centered environments. You will build AI agents that can interact with, learn from, and adapt to their physical/digital environments. You will own the full lifecycle from research prototype to partner deployment advancing core learning systems, building the developer ecosystem, and working directly with partners to put intelligent robots into real environments. The defining issue: closing the gap between what our models can do in simulation and what our robots actually do in the world. This is a role where your work has physical presence the code you write moves robots, the systems you build help", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:d4f782d6896358431ecedc81", "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.f688b9c11d75f064a1", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "fc0c84241d114fdac956c34b2b23677b", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Research Engineer, Embodied Agents, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. At DeepMind Robotics, we are dedicated to solving physical AGI. We are a team of scientists and engineers working together to advance the artificial intelligence, ultimately enabling autonomous agents to safely act in complex, human-centered environments. You will build AI agents that can interact with, learn from, and adapt to their physical/digital environments. You will own the full lifecycle from research prototype to partner deployment advancing core learning systems, building the developer ecosystem, and working directly with partners to put intelligent robots into real environments. The defining issue: closing the gap between what our models can do in simulation and what our robots actually do in the world. This is a role where your work has physical presence the code you write moves robots, the systems you build help", "matched_input": "paper", "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.b5fc35a783438f319a", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "fc0c84241d114fdac956c34b2b23677b", "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.412ad5e852eb8abc2e", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "7e3c81c826c0d86b3603d3a0479436b6", "title": "Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "location_text": "Mountain View, CA, USA; +2 more", "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": 174000, "salary_max": 253000, "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": 174000, "base_salary_max": 253000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-04T21:11:34.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckX279DFnPWzZ_lY1b13I_ekkWtDbwDxRHYsOHj3K17SoEjsACxwdTGNKureycR9UmSbo6-BymVu6532Dincjayet027RtgQsiDWoIl9rbxUDQGcR_C0vRrY6EdMPIw%3D%3D_V2&loc=US&title=Research+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind Mountain View, CA, USA; +2 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to unblock the strongest and most helpful agentic GenAI capabilities in the real world, by making Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions. We work to make security and privacy improvements across all aspects of Gemini post-training. Agentic capabilities such as coding (e.g. Antigravity) and personal assistant (e.g. Gemini Spark) are introducing challenging security and privacy problems. Joining an experienced post-training team with a strong record on security and privacy improvements in Gemini, you will be directly responsible for building training data and techniques to ensure our most advanced agents are secure and privacy-respecting, without sacrificing strong, frontier model capabilities. Artificial intelligence will be one", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 94, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "tech_stack": { "field": "tech_stack", "source": "llm:greenfield:inv_371_postfix", "db_column": "tech_stack" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "company_stage": { "field": "company_stage", "source": "llm:greenfield:inv_371_postfix", "db_column": "company_stage" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.57a66bd55d9cc9daf8", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "7e3c81c826c0d86b3603d3a0479436b6", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind Mountain View, CA, USA; +2 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to unblock the strongest and most helpful agentic GenAI capabilities in the real world, by making Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions. We work to make security and privacy improvements across all aspects of Gemini post-training. Agentic capabilities such as coding (e.g. Antigravity) and personal assistant (e.g. Gemini Spark) are introducing challenging security and privacy problems. Joining an experienced post-training team with a strong record on security and privacy improvements in Gemini, you will be directly responsible for building training data and techniques to ensure our most advanced agents are secure and privacy-respecting, without sacrificing strong, frontier model capabilities. Artificial intelligence will be one", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:7e3c81c826c0d86b3603d3a0479436b6:description:paper", "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.6983d63dde417ba896", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "7e3c81c826c0d86b3603d3a0479436b6", "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": "Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind Mountain View, CA, USA; +2 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to unblock the strongest and most helpful agentic GenAI capabilities in the real world, by making Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions. We work to make security and privacy improvements across all aspects of Gemini post-training. Agentic capabilities such as coding (e.g. Antigravity) and personal assistant (e.g. Gemini Spark) are introducing challenging security and privacy problems. Joining an experienced post-training team with a strong record on security and privacy improvements in Gemini, you will be directly responsible for building training data and techniques to ensure our most advanced agents are secure and privacy-respecting, without sacrificing strong, frontier model capabilities. Artificial intelligence will be one", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:c4084fe00c235e46133a1712", "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.0c7c8899da97d82e6c", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "7e3c81c826c0d86b3603d3a0479436b6", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Research Engineer, Agentic Security & Privacy Post-Training for Gemini, DeepMind Mountain View, CA, USA; +2 more At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Our mission is to unblock the strongest and most helpful agentic GenAI capabilities in the real world, by making Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions. We work to make security and privacy improvements across all aspects of Gemini post-training. Agentic capabilities such as coding (e.g. Antigravity) and personal assistant (e.g. Gemini Spark) are introducing challenging security and privacy problems. Joining an experienced post-training team with a strong record on security and privacy improvements in Gemini, you will be directly responsible for building training data and techniques to ensure our most advanced agents are secure and privacy-respecting, without sacrificing strong, frontier model capabilities. Artificial intelligence will be one", "matched_input": "paper", "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.917f2e3ad61febd004", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "7e3c81c826c0d86b3603d3a0479436b6", "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.fb8046b2c0ef601975", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "71f2bb5feffd137d8145bc73bbd945c8", "title": "SAP Mexico Intern - Corporate Communications", "employer_name": "SAP", "employer_slug": "sap", "location_text": "SAP Mexico Intern - Corporate Communications | Country Mexico | Internal Posting Location Mexico City", "country": "MX", "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": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.sap.com/job/Ciudad-de-M%C3%A9xico-SAP-Mexico-Intern-Corporate-Communications-06500/1397904733/", "apply_url_verified": false, "ats": "successfactors", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "SAP Mexico Intern - Corporate Communications SAP Mexico Intern - Corporate Communications | Country Mexico | Internal Posting Location Mexico City We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll Build The SAP Mexico Internship program is a global-minded, strategic & paid internship program that provides university students the opportunity to find purpose in their careers. This is more than an internship, it's the foundation for a career built on connection, creativity, and impact. Position title: SAP Mexico Intern - Corporate Communications Location: CDMX Expected Start: July 2026* Duration: 18 Months We are looking for a Corporate Communications Intern to support internal communication initiatives and day-to-day operations of the Communications area. This role will contribute to the development of engaging content, coordination of internal events, and administrative support that enables effective communication across the organization. Key Responsibilities Develop communication content for internal channels, including newsletters, organizational announcements, and other employee communications materials. Support internal communication strategies and collaborate w", "parental_leave_weeks": 6, "non_birth_parent_leave_weeks": 6, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://community.sap.com/t5/sap-for-healthcare-blog-posts/bg-p/healthcareblog-board", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 77, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "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" }, "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" }, "contractor_type": { "field": "contractor_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "contractor_type" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "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" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" } }, "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "marketing", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.9a0482f2436dc481cb", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "71f2bb5feffd137d8145bc73bbd945c8", "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": "SAP Mexico Intern - Corporate Communications", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0b96de859561c48b780b1729", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.57b8d78b64de206dff", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "71f2bb5feffd137d8145bc73bbd945c8", "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.fa4cb127950029f6eb", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "c9d93fdd9adb666e867b41b67762b2a7", "title": "Summer 2026 MD Intern, Internal Medicine", "employer_name": "Regeneron Pharmaceuticals", "employer_slug": "regeneron-pharmaceuticals", "location_text": "TARRYTOWN", "country": "unknown", "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": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-08T00:00:00.000Z", "apply_url": "https://regeneron.wd1.myworkdayjobs.com/Careers/job/TARRYTOWN/Summer-2026-MD-Intern--Internal-Medicine_R43354", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Summer 2026 MD Intern, Internal Medicine TARRYTOWN 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": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "other", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.3ad24f103045c96ef3", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "c9d93fdd9adb666e867b41b67762b2a7", "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": "Summer 2026 MD Intern, Internal Medicine", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9858e77bf2e31bfd6108cb72", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.baacc9fbce59609e5e", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "c9d93fdd9adb666e867b41b67762b2a7", "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.3c35dcf3f94f64df88", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "f7b58b924ffea66e5097c6e7e50f81b5", "title": "BRANCH LOGISTICS SUPERVISOR NO CDL", "employer_name": "Accendra Health INC", "employer_slug": "accendra-health", "location_text": "NY ELMSFORD", "country": "unknown", "employment_type": "temporary", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": 64076, "salary_max": 68498, "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": 64076, "base_salary_max": 68498, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://owensminor.wd1.myworkdayjobs.com/OMCareers/job/NY-ELMSFORD/BRANCH-LOGISTICS-SUPERVISOR-NO-CDL_REQ_26_30173", "apply_url_verified": true, "ats": "workday", "url_last_checked_alive": "2026-06-13T01:21:24.726Z", "removed_at": null, "description_excerpt": "BRANCH LOGISTICS SUPERVISOR NO CDL NY ELMSFORD At Accendra Health, we understand that healthcare is complex, and we're here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve. With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials. If you're interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™. The anticipated salary range for this position is $64,076.00 - $68,498.00 annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. JOB SUMMARY The Branch Logistics Supervisor performs, plans, and coordinates the daily activity of all Logistics personnel and functions. ESSENTIAL DUTIES AND RESPONSIBILITIES Manages the Logistics department for the branch to ensure timely and accurate delivery of products. Ensures staff compliance with all applicable regulatory requirements including, but not limited to, providing documents for the driver qualification file and abiding by hours of service, daily log, hazardous materials (placarding, training and shipping papers), daily vehicle inspections and reports, and maintenance regulations. Schedules Delivery employees on a daily and on-call basis. Completes daily route preparation. Assigns additional routes as patient and referral requests are", "parental_leave_weeks": 3, "non_birth_parent_leave_weeks": 3, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.owens-minor.com/wp-content/uploads/2025/12/OM_2024-Impact-Report_Web_final.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 75, "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": { "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" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "company_stage": null, "company_stage_source": null, "employer_industry": "Healthcare", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "high_school", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f5350f6c3d2c8c558f", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f7b58b924ffea66e5097c6e7e50f81b5", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "BRANCH LOGISTICS SUPERVISOR NO CDL NY ELMSFORD At Accendra Health, we understand that healthcare is complex, and we're here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve. With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials. If you're interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™. The anticipated salary range for this position is $64,076.00 - $68,498.00 annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. JOB SUMMARY The Branch Logistics Supervisor performs, plans, and coordinates the daily activity of all Logistics personnel and functions. ESSENTIAL DUTIES AND RESPONSIBILITIES Manages the Logistics department for the branch to ensure timely and accurate delivery of products. Ensures staff compliance with all applicable regulatory requirements including, but not limited to, providing documents for the driver qualification file and abiding by hours of service, daily log, hazardous materials (placarding, training and shipping papers), daily vehicle inspections and reports, and maintenance regulations. Schedules Delivery employees on a daily and on-call basis. Completes daily route preparation. Assigns additional routes as patient and referral requests are", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:f7b58b924ffea66e5097c6e7e50f81b5:description:paper", "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.6ed408a24121cdc515", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f7b58b924ffea66e5097c6e7e50f81b5", "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": "BRANCH LOGISTICS SUPERVISOR NO CDL NY ELMSFORD At Accendra Health, we understand that healthcare is complex, and we're here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve. With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials. If you're interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™. The anticipated salary range for this position is $64,076.00 - $68,498.00 annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. JOB SUMMARY The Branch Logistics Supervisor performs, plans, and coordinates the daily activity of all Logistics personnel and functions. ESSENTIAL DUTIES AND RESPONSIBILITIES Manages the Logistics department for the branch to ensure timely and accurate delivery of products. Ensures staff compliance with all applicable regulatory requirements including, but not limited to, providing documents for the driver qualification file and abiding by hours of service, daily log, hazardous materials (placarding, training and shipping papers), daily vehicle inspections and reports, and maintenance regulations. Schedules Delivery employees on a daily and on-call basis. Completes daily route preparation. Assigns additional routes as patient and referral requests are", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e4087ee9980f91d614b16673", "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.9f6d505cda718ee13b", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f7b58b924ffea66e5097c6e7e50f81b5", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "BRANCH LOGISTICS SUPERVISOR NO CDL NY ELMSFORD At Accendra Health, we understand that healthcare is complex, and we're here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve. With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials. If you're interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™. The anticipated salary range for this position is $64,076.00 - $68,498.00 annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. JOB SUMMARY The Branch Logistics Supervisor performs, plans, and coordinates the daily activity of all Logistics personnel and functions. ESSENTIAL DUTIES AND RESPONSIBILITIES Manages the Logistics department for the branch to ensure timely and accurate delivery of products. Ensures staff compliance with all applicable regulatory requirements including, but not limited to, providing documents for the driver qualification file and abiding by hours of service, daily log, hazardous materials (placarding, training and shipping papers), daily vehicle inspections and reports, and maintenance regulations. Schedules Delivery employees on a daily and on-call basis. Completes daily route preparation. Assigns additional routes as patient and referral requests are", "matched_input": "paper", "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.c73d96752940aabf8e", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f7b58b924ffea66e5097c6e7e50f81b5", "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.1e3aaa771ffac6098a", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.2d518b1a47d0e8e5b0", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "f7b58b924ffea66e5097c6e7e50f81b5", "signal_type": "trust_signal", "display_text": "Live-verified apply link", "tooltip": "The apply link passed the latest liveness check.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://owensminor.wd1.myworkdayjobs.com/OMCareers/job/NY-ELMSFORD/BRANCH-LOGISTICS-SUPERVISOR-NO-CDL_REQ_26_30173", "source_label": "Apply link", "source_date": "2026-06-13T01:21:24.726Z" } } ] }, { "id": "bbfd5862ec93530184dda0898a490d4b", "title": "Counsel (12-month fixed-term contract)", "employer_name": "Salesforce", "employer_slug": "salesforce", "location_text": "United Kingdom - London", "country": "GB", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-15T00:00:00.000Z", "apply_url": "https://careers.salesforce.com/en/jobs/jr342649/counsel-12-month-fixed-term-contract/", "apply_url_verified": false, "ats": "phenom_umbraco", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Counsel (12-month fixed-term contract) United Kingdom - London About the Role Salesforce is looking for high-performing, result-oriented Counsel to provide maternity cover within our UK & Ireland Commercial Legal team, working closely with a Senior Counsel, covering the Public Sector. This is a 12-month fixed-term contract supporting Salesforce's UKI's public sector business. The Commercial Legal team delivers innovative, trusted and world-class legal services. Our aim is to drive sales performance and foster customers' relationships. Although our main activity is contractual negotiation with customers, we are also frequently involved on subjects related to high tech, data protection and artificial intelligence. If you have a strong legal knowledge & mindset and you enjoy negotiations, high tech and thinking out of the box, you are welcome to join us! Key Responsibilities Commercial Transaction Management: Structure, draft, and negotiate complex commercial agreements for direct and indirect Public Sector sales routes, with a strong focus on large UK public sector procurements and framework agreements (including BOS2 and other government frameworks) Contract Negotiation: Lead negotiations of Master Services Agreements (MSAs), Order Forms, Professional Services agreements, and related commercial documentation either on Salesforce paper or government paper (within Salesforce's approved parameters) Public Sector Expertise: Navigate and respond to complex public procurement requirements, e.g. working on requests for proposals/informations, ethical walls agreements, drafting clarification questions, and ensuring compliance with public sector procurement regulations Stakeholder Management: Partner with sales teams and business stakeholders across the UK region to enable deals and provide strategic legal guidance Risk Management: Assess commercial", "parental_leave_weeks": 26, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://careers.salesforce.com/en/salesforce-stories/wellbeingbenefits/the-benefits-of-parenthood-how-salesforce-supports-growing-families/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 89, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "role_family": { "field": "role_family", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_family" }, "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" }, "contractor_type": { "field": "contractor_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "contractor_type" }, "employment_type": { "field": "employment_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "employment_type" }, "visa_sponsorship": { "field": "visa_sponsorship", "source": "llm:greenfield:inv_371_postfix", "db_column": "visa_sponsorship" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "non_birth_parent_leave_weeks": { "field": "non_birth_parent_leave_weeks", "source": "llm:greenfield:inv_371_postfix", "db_column": "non_birth_parent_leave_weeks" } }, "seniority": "mid", "years_experience_min": 5, "years_experience_max": 7, "role_function": "legal", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.44bd34e7ba1454f555", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "bbfd5862ec93530184dda0898a490d4b", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Counsel (12-month fixed-term contract) United Kingdom - London About the Role Salesforce is looking for high-performing, result-oriented Counsel to provide maternity cover within our UK & Ireland Commercial Legal team, working closely with a Senior Counsel, covering the Public Sector. This is a 12-month fixed-term contract supporting Salesforce's UKI's public sector business. The Commercial Legal team delivers innovative, trusted and world-class legal services. Our aim is to drive sales performance and foster customers' relationships. Although our main activity is contractual negotiation with customers, we are also frequently involved on subjects related to high tech, data protection and artificial intelligence. If you have a strong legal knowledge & mindset and you enjoy negotiations, high tech and thinking out of the box, you are welcome to join us! Key Responsibilities Commercial Transaction Management: Structure, draft, and negotiate complex commercial agreements for direct and indirect Public Sector sales routes, with a strong focus on large UK public sector procurements and framework agreements (including BOS2 and other government frameworks) Contract Negotiation: Lead negotiations of Master Services Agreements (MSAs), Order Forms, Professional Services agreements, and related commercial documentation either on Salesforce paper or government paper (within Salesforce's approved parameters) Public Sector Expertise: Navigate and respond to complex public procurement requirements, e.g. working on requests for proposals/informations, ethical walls agreements, drafting clarification questions, and ensuring compliance with public sector procurement regulations Stakeholder Management: Partner with sales teams and business stakeholders across the UK region to enable deals and provide strategic legal guidance Risk Management: Assess commercial", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:bbfd5862ec93530184dda0898a490d4b:description:paper", "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.9ec80bcc4b7096aa26", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "bbfd5862ec93530184dda0898a490d4b", "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": "Counsel (12-month fixed-term contract) United Kingdom - London About the Role Salesforce is looking for high-performing, result-oriented Counsel to provide maternity cover within our UK & Ireland Commercial Legal team, working closely with a Senior Counsel, covering the Public Sector. This is a 12-month fixed-term contract supporting Salesforce's UKI's public sector business. The Commercial Legal team delivers innovative, trusted and world-class legal services. Our aim is to drive sales performance and foster customers' relationships. Although our main activity is contractual negotiation with customers, we are also frequently involved on subjects related to high tech, data protection and artificial intelligence. If you have a strong legal knowledge & mindset and you enjoy negotiations, high tech and thinking out of the box, you are welcome to join us! Key Responsibilities Commercial Transaction Management: Structure, draft, and negotiate complex commercial agreements for direct and indirect Public Sector sales routes, with a strong focus on large UK public sector procurements and framework agreements (including BOS2 and other government frameworks) Contract Negotiation: Lead negotiations of Master Services Agreements (MSAs), Order Forms, Professional Services agreements, and related commercial documentation either on Salesforce paper or government paper (within Salesforce's approved parameters) Public Sector Expertise: Navigate and respond to complex public procurement requirements, e.g. working on requests for proposals/informations, ethical walls agreements, drafting clarification questions, and ensuring compliance with public sector procurement regulations Stakeholder Management: Partner with sales teams and business stakeholders across the UK region to enable deals and provide strategic legal guidance Risk Management: Assess commercial", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:79203bb1b2eaa133b9ba5795", "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.88b1b324886080dff6", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "bbfd5862ec93530184dda0898a490d4b", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Counsel (12-month fixed-term contract) United Kingdom - London About the Role Salesforce is looking for high-performing, result-oriented Counsel to provide maternity cover within our UK & Ireland Commercial Legal team, working closely with a Senior Counsel, covering the Public Sector. This is a 12-month fixed-term contract supporting Salesforce's UKI's public sector business. The Commercial Legal team delivers innovative, trusted and world-class legal services. Our aim is to drive sales performance and foster customers' relationships. Although our main activity is contractual negotiation with customers, we are also frequently involved on subjects related to high tech, data protection and artificial intelligence. If you have a strong legal knowledge & mindset and you enjoy negotiations, high tech and thinking out of the box, you are welcome to join us! Key Responsibilities Commercial Transaction Management: Structure, draft, and negotiate complex commercial agreements for direct and indirect Public Sector sales routes, with a strong focus on large UK public sector procurements and framework agreements (including BOS2 and other government frameworks) Contract Negotiation: Lead negotiations of Master Services Agreements (MSAs), Order Forms, Professional Services agreements, and related commercial documentation either on Salesforce paper or government paper (within Salesforce's approved parameters) Public Sector Expertise: Navigate and respond to complex public procurement requirements, e.g. working on requests for proposals/informations, ethical walls agreements, drafting clarification questions, and ensuring compliance with public sector procurement regulations Stakeholder Management: Partner with sales teams and business stakeholders across the UK region to enable deals and provide strategic legal guidance Risk Management: Assess commercial", "matched_input": "paper", "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.3143691d29812b4a60", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "bbfd5862ec93530184dda0898a490d4b", "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.9abf88cf9a7ca45a84", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "a9c9a3c7f4450a50134152d4d2e10314", "title": "Senior Research Engineer, On-Device Inference, Robotics, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "location_text": "Mountain View, CA, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 207000, "salary_max": 301000, "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": 207000, "base_salary_max": 301000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-09T07:08:12.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckXdB87ylPXdzpgnMBxB1F7nQvg7nSIvtztTF6jasvgD5EjsACxwdTOXZypturrzPiMHKJ-34ZNNEYdKgvKId_OqEtgX-ckLNrT2z0lgmFqx0kZCACGNsv98zDsOrRA%3D%3D_V2&loc=US&title=Senior+Research+Engineer", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Research Engineer, On-Device Inference, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. As a Research Engineer, you will lead the critical effort to adapt and optimize Gemini Robotics models for deployment in low-latency on-device applications. You will be driving strong alignment between specialized model architectures and edge device constraints. You will be articulating technical requirements and performance tradeoffs and influencing research and engineering teams across Google to deliver robust solutions. You will be passionate about the intersection of model optimization and hardware acceleration for use cases. You will possess deep knowledge of low-latency inference techniques across GPU, TPU, and CPU architectures and are skilled in collaborating across disciplines to achieve optimal system performance. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 94, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "seniority": { "field": "seniority", "source": "llm:greenfield:inv_371_postfix", "db_column": "seniority" }, "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "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" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "senior", "years_experience_min": 8, "years_experience_max": 12, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b60b0fc9fdef86a0c8", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "a9c9a3c7f4450a50134152d4d2e10314", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Research Engineer, On-Device Inference, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. As a Research Engineer, you will lead the critical effort to adapt and optimize Gemini Robotics models for deployment in low-latency on-device applications. You will be driving strong alignment between specialized model architectures and edge device constraints. You will be articulating technical requirements and performance tradeoffs and influencing research and engineering teams across Google to deliver robust solutions. You will be passionate about the intersection of model optimization and hardware acceleration for use cases. You will possess deep knowledge of low-latency inference techniques across GPU, TPU, and CPU architectures and are skilled in collaborating across disciplines to achieve optimal system performance. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:a9c9a3c7f4450a50134152d4d2e10314:description:paper", "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.b47e9b2b64f6325800", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "a9c9a3c7f4450a50134152d4d2e10314", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Research Engineer, On-Device Inference, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. As a Research Engineer, you will lead the critical effort to adapt and optimize Gemini Robotics models for deployment in low-latency on-device applications. You will be driving strong alignment between specialized model architectures and edge device constraints. You will be articulating technical requirements and performance tradeoffs and influencing research and engineering teams across Google to deliver robust solutions. You will be passionate about the intersection of model optimization and hardware acceleration for use cases. You will possess deep knowledge of low-latency inference techniques across GPU, TPU, and CPU architectures and are skilled in collaborating across disciplines to achieve optimal system performance. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e48949bcb324b17f6e77a181", "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.7113cb53c9f65653a4", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "a9c9a3c7f4450a50134152d4d2e10314", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Research Engineer, On-Device Inference, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. As a Research Engineer, you will lead the critical effort to adapt and optimize Gemini Robotics models for deployment in low-latency on-device applications. You will be driving strong alignment between specialized model architectures and edge device constraints. You will be articulating technical requirements and performance tradeoffs and influencing research and engineering teams across Google to deliver robust solutions. You will be passionate about the intersection of model optimization and hardware acceleration for use cases. You will possess deep knowledge of low-latency inference techniques across GPU, TPU, and CPU architectures and are skilled in collaborating across disciplines to achieve optimal system performance. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing", "matched_input": "paper", "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.a57ee0ca7224f98c96", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "a9c9a3c7f4450a50134152d4d2e10314", "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.7632df297c377b64b0", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "a698a5d3a66feb9f68aea1b4c1b99453", "title": "Pretraining codebase SWE, DeepMind", "employer_name": "DeepMind", "employer_slug": "deepmind", "location_text": "Mountain View, CA, USA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 174000, "salary_max": 253000, "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": 174000, "base_salary_max": 253000, "salary_disclosed": true, "equity_included": true, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": "yes", "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_match_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip", "k401_contribution_source_fields": [ "EMPLR_CONTRIB_INCOME_AMT" ], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-06-04T21:11:20.000Z", "apply_url": "https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUr5aWfyvRuIa3BkLBukinjE5K_zx2786lF4ZWi2LsrBEjsACxwdTJp25kxFL83SUCSnqDGxnWaInfQnTgaioCynqOXM3Plx6GI6N6RpwERf8CT0CFwe18iOdnGmpQ%3D%3D_V2&loc=US&title=Pretraining+codebase+SWE", "apply_url_verified": false, "ats": "google_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Pretraining codebase SWE, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Enable day", "parental_leave_weeks": 18, "non_birth_parent_leave_weeks": 18, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 94, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": "2026-06-20T05:42:05.724Z", "llm_extraction_run_id": "postfix_final_004037", "llm_extraction_extracted_at": null, "llm_extraction_field_sources": { "years_min": { "field": "years_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "years_experience_min" }, "salary_max": { "field": "salary_max", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_max" }, "salary_min": { "field": "salary_min", "source": "llm:greenfield:inv_371_postfix", "db_column": "base_salary_min" }, "salary_type": { "field": "salary_type", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_type" }, "role_function": { "field": "role_function", "source": "llm:greenfield:inv_371_postfix", "db_column": "role_function" }, "salary_period": { "field": "salary_period", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_period" }, "equity_offered": { "field": "equity_offered", "source": "llm:greenfield:inv_371_postfix", "db_column": "equity_offered" }, "equity_included": { "field": "equity_included", "source": "derived:greenfield:inv_371_postfix", "db_column": "equity_included" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.2958f31b487a033246", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "a698a5d3a66feb9f68aea1b4c1b99453", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Pretraining codebase SWE, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Enable day", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:a698a5d3a66feb9f68aea1b4c1b99453:description:paper", "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.660239ba21a972cbfa", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "a698a5d3a66feb9f68aea1b4c1b99453", "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": "Pretraining codebase SWE, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Enable day", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3eb586d521ec5d8c390026c2", "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.91e808e07bd1ddbb9d", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "a698a5d3a66feb9f68aea1b4c1b99453", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Pretraining codebase SWE, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Enable day", "matched_input": "paper", "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.89912fd9f234ec697b", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "a698a5d3a66feb9f68aea1b4c1b99453", "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.dc5ba2b931b62e049d", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } } ] }, { "id": "448bf229e619aef50c534e48616d6fc6", "title": "Manager, Branch Logistics – Non CDL", "employer_name": "Accendra Health INC", "employer_slug": "accendra-health", "location_text": "WA FIFE", "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": 71999, "salary_max": 76966, "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": 71999, "base_salary_max": 76966, "salary_disclosed": true, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://owensminor.wd1.myworkdayjobs.com/OMCareers/job/WA-FIFE/Manager--Branch-Logistics---Non-CDL_REQ_26_30879", "apply_url_verified": true, "ats": "workday", "url_last_checked_alive": "2026-06-13T01:21:24.841Z", "removed_at": null, "description_excerpt": "Manager, Branch Logistics – Non CDL WA FIFE At Accendra Health, we understand that healthcare is complex, and we're here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve. With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials. If you're interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™. The anticipated salary range for this position is $71,999.00 - $76,966.00 annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. The Manager, Branch Logistics performs, plans, and coordinates the daily activity of all Logistics personnel and functions. ESSENTIAL DUTIES AND RESPONSIBILITIES Manages the Logistics department for the branch to optimizetimely and accurate delivery of products Promotes staff compliance with all applicable regulatory requirements, where applicable, including, but not limited to, providing documents for the driver qualification file and abiding by hours of service, daily log, hazardous materials (placarding, training and shipping papers) Promotes vehicle safety, including daily vehicle inspections and reports, and maintenance regulations Manages daily and on-call Delivery employee schedules Completes daily route preparation Assigns additional routes as patient and referral", "parental_leave_weeks": 3, "non_birth_parent_leave_weeks": 3, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://www.owens-minor.com/wp-content/uploads/2025/12/OM_2024-Impact-Report_Web_final.pdf", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 75, "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" }, "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" }, "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" }, "salary_currency": { "field": "salary_currency", "source": "llm:greenfield:inv_371_postfix", "db_column": "salary_currency" }, "salary_disclosed": { "field": "salary_disclosed", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_disclosed" }, "industry_vertical": { "field": "industry_vertical", "source": "llm:greenfield:inv_371_postfix", "db_column": "industry_vertical" }, "naics_sector_code": { "field": "naics_sector_code", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_code" }, "education_required": { "field": "education_required", "source": "llm:greenfield:inv_371_postfix", "db_column": "education_required" }, "naics_sector_title": { "field": "naics_sector_title", "source": "llm:greenfield:inv_371_postfix", "db_column": "naics_sector_title" }, "visible_salary_max": { "field": "visible_salary_max", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_max" }, "visible_salary_min": { "field": "visible_salary_min", "source": "derived:greenfield:inv_371_postfix", "db_column": "salary_min" } }, "seniority": "mid", "years_experience_min": 2, "years_experience_max": 9, "role_function": "operations", "company_stage": "public-company", "company_stage_source": "llm:greenfield:inv_371_postfix", "employer_industry": "Healthcare", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "high_school", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.f20d2bb4ef4aefa680", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "448bf229e619aef50c534e48616d6fc6", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description matched \"paper\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Manager, Branch Logistics – Non CDL WA FIFE At Accendra Health, we understand that healthcare is complex, and we're here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve. With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials. If you're interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™. The anticipated salary range for this position is $71,999.00 - $76,966.00 annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. The Manager, Branch Logistics performs, plans, and coordinates the daily activity of all Logistics personnel and functions. ESSENTIAL DUTIES AND RESPONSIBILITIES Manages the Logistics department for the branch to optimizetimely and accurate delivery of products Promotes staff compliance with all applicable regulatory requirements, where applicable, including, but not limited to, providing documents for the driver qualification file and abiding by hours of service, daily log, hazardous materials (placarding, training and shipping papers) Promotes vehicle safety, including daily vehicle inspections and reports, and maintenance regulations Manages daily and on-call Delivery employee schedules Completes daily route preparation Assigns additional routes as patient and referral", "matched_input": "paper", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_bb3e98a5fb5db2bd8cf5:448bf229e619aef50c534e48616d6fc6:description:paper", "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.3f57a74e3b0f8c3919", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "448bf229e619aef50c534e48616d6fc6", "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": "Manager, Branch Logistics – Non CDL WA FIFE At Accendra Health, we understand that healthcare is complex, and we're here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve. With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials. If you're interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™. The anticipated salary range for this position is $71,999.00 - $76,966.00 annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. The Manager, Branch Logistics performs, plans, and coordinates the daily activity of all Logistics personnel and functions. ESSENTIAL DUTIES AND RESPONSIBILITIES Manages the Logistics department for the branch to optimizetimely and accurate delivery of products Promotes staff compliance with all applicable regulatory requirements, where applicable, including, but not limited to, providing documents for the driver qualification file and abiding by hours of service, daily log, hazardous materials (placarding, training and shipping papers) Promotes vehicle safety, including daily vehicle inspections and reports, and maintenance regulations Manages daily and on-call Delivery employee schedules Completes daily route preparation Assigns additional routes as patient and referral", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:bab52c704e708106f793ad16", "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.4faa6338eecbe5807a", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "448bf229e619aef50c534e48616d6fc6", "signal_type": "query_match", "display_text": "Description: \"paper\"", "tooltip": "Description contains \"paper\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Manager, Branch Logistics – Non CDL WA FIFE At Accendra Health, we understand that healthcare is complex, and we're here to make it easier. We help deliver care beyond traditional settings, making essential products and services more accessible through every stage of life. As part of the care team, our teammates play a critical role in delivering personalized, long-term care for the patients we serve. With deep expertise promoting health outside the hospital and a presence in communities nationwide through our Apria and Byram Healthcare brands, Accendra Health does more than just deliver the essentials. If you're interested in meaningful work with impact, explore our career opportunities and join us in our purpose of Bringing Care To Life™. The anticipated salary range for this position is $71,999.00 - $76,966.00 annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location. The Manager, Branch Logistics performs, plans, and coordinates the daily activity of all Logistics personnel and functions. ESSENTIAL DUTIES AND RESPONSIBILITIES Manages the Logistics department for the branch to optimizetimely and accurate delivery of products Promotes staff compliance with all applicable regulatory requirements, where applicable, including, but not limited to, providing documents for the driver qualification file and abiding by hours of service, daily log, hazardous materials (placarding, training and shipping papers) Promotes vehicle safety, including daily vehicle inspections and reports, and maintenance regulations Manages daily and on-call Delivery employee schedules Completes daily route preparation Assigns additional routes as patient and referral", "matched_input": "paper", "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.09ac29616d098cad40", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "448bf229e619aef50c534e48616d6fc6", "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.762cc9fd5666046a1e", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "filter_predicate_replay", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 70, "mobile_priority": 3, "ui": { "icon": "SlidersHorizontal", "tone": "filter", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.trust.apply.43a34aef06a1777fbe", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "448bf229e619aef50c534e48616d6fc6", "signal_type": "trust_signal", "display_text": "Live-verified apply link", "tooltip": "The apply link passed the latest liveness check.", "source_binding": "row_trust_evidence", "source_field": "apply_url_verified", "source_value": true, "matched_input": true, "derivation_source": "verified_source_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "trust_source_exists", "counts_for_non_trivial_query": false, "truth_verified": true, "exact": true, "priority": 10, "mobile_priority": 11, "ui": { "icon": "ExternalLink", "tone": "verified", "href": null }, "evidence_source": { "source_url": "https://owensminor.wd1.myworkdayjobs.com/OMCareers/job/WA-FIFE/Manager--Branch-Logistics---Non-CDL_REQ_26_30879", "source_label": "Apply link", "source_date": "2026-06-13T01:21:24.841Z" } } ] }, { "id": "546480c9a185179d2af5d3a2e497c2ab", "title": "2026 AI/ML Intern - Machine Learning Engineer/Researcher Intern", "employer_name": "Adobe Inc.", "employer_slug": "adobe", "location_text": "3 Locations", "country": "unknown", "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": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [], "posted_at": "2026-05-12T00:00:00.000Z", "apply_url": "https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/XMLNAME-2026-AI-ML-Intern---Machine-Learning-Engineer-Intern_R160706", "apply_url_verified": false, "ats": "workday", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "2026 AI/ML Intern - Machine Learning Engineer/Researcher Intern 3 Locations posted: Posted 30+ Days Ago", "parental_leave_weeks": 16, "non_birth_parent_leave_weeks": 16, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": "https://benefits.adobe.com/us/time-off/leaves-of-absence", "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 90, "benefit_verified": true, "benefit_last_verified": "2026-05-07", "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "entry", "years_experience_min": 0, "years_experience_max": 4, "role_function": "data", "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 35, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.title.d04fc2f615aa9f01ac", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "546480c9a185179d2af5d3a2e497c2ab", "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": "2026 AI/ML Intern - Machine Learning Engineer/Researcher Intern", "matched_input": "international paper", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:4e184e9d3288b63ad5611e21", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.filter.verified_benefits_only.045b531f2f0012923d", "query_id": "gq_bb3e98a5fb5db2bd8cf5", "job_id": "546480c9a185179d2af5d3a2e497c2ab", "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.df67a9469b5453d751", "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 } } ] } ], "total": 19, "page": 1, "per_page": 24, "applied_filters": { "q": "International Paper", "verified_benefits_only": true }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "default", "search_profile": { "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1", "bm25_extension": "pg_textsearch", "vector_model": "BAAI/bge-small-en-v1.5", "vector_model_version": "v1.5", "fusion_method": "rrf" }, "explanation_context": { "non_trivial_query": true, "query_terms": [ "international", "paper" ], "active_filter_keys": [ "verified_benefits_only" ], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": null }