{ "results": [ { "id": "84fcf05a806d46b5f305fa1b188c354d", "title": "Generator Specialist, Subject Matter Expert", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Huntsville, AL", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 114000, "salary_max": 168000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 114000, "base_salary_max": 168000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1949481595892560/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Generator Specialist, Subject Matter Expert Huntsville, AL Meta is seeking a Generator Subject Matter Expert (SME) to join our Data Center Facility Operations team. Our data centers serve as the", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 7, "years_experience_max": 11, "role_function": "other", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "848a554415a720fe0ce46c5eeaabea79", "title": "Research Data Program Manager, MSL", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 160000, "salary_max": 223000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 160000, "base_salary_max": 223000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1645206443586664/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Data Program Manager, MSL Menlo Park, CA The Meta SuperIntelligence Lab is dedicated to developing AI-powered experiences for consumers, leveraging Meta's cutting-edge models. We are looking for a Research", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 8, "years_experience_max": 9, "role_function": "operations", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "84498bd4733ba39d60da6013d1116b5d", "title": "AI Research Engineer, Media - Meta Superintelligence Labs", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Bellevue, WA; Menlo Park, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 154003, "salary_max": 217000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 154003, "base_salary_max": 217000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1372820631269920/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Research Engineer, Media - Meta Superintelligence Labs Bellevue, WA; Menlo Park, CA We are seeking AI Researchers to join the Product and Applied Research (PAR) Media group within Meta", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "843be66e08a6e013b27a6e9ce15fbc89", "title": "Data Scientist, Products & Applied Research", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 210000, "salary_max": 281000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 210000, "base_salary_max": 281000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/2422368444865623/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Scientist, Products & Applied Research Menlo Park, CA Meta’s Products & Applied Research (PAR) team is where product-focused research meets real-world impact, taking breakthrough AI research and transforming it", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 10, "years_experience_max": 14, "role_function": "data", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": 3, "roll_up_total_locations": 2 }, { "id": "8364e69aa650578e0f4519d81f7c7d3e", "title": "Construction Manager - Data Center Design, Engineering and Construction", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Henrico, VA; Kansas City, MO; Menlo Park, CA; Montgomery, AL; Beaver Dam, WI; Cheyenne, WY; Bowling Green, OH; New Albany, OH; Huntsville, AL; Rosemount, MN; Eagle Mountain, UT; Kuna, ID", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 150000, "salary_max": 209000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 150000, "base_salary_max": 209000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1057427173269828/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Construction Manager - Data Center Design, Engineering and Construction Henrico, VA; Kansas City, MO; Menlo Park, CA; Montgomery, AL; Beaver Dam, WI; Cheyenne, WY; Bowling Green, OH; New Albany, OH;", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 12, "years_experience_max": 16, "role_function": "operations", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": 10, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": 3, "roll_up_total_locations": 3 }, { "id": "83424dfbaa7cb4c52426b222bc44c24b", "title": "Product Designer, Meta Superintelligence Labs Media", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA; Seattle, WA; New York, NY; San Francisco, CA; Remote, US", "country": "US", "employment_type": "full_time", "remote_status": "remote", "days_in_office": 0, "timezone_overlap_hours": 6, "salary_min": 201000, "salary_max": 278000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 201000, "base_salary_max": 278000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/873327785607518/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Product Designer, Meta Superintelligence Labs Media Menlo Park, CA; Seattle, WA; New York, NY; San Francisco, CA; Remote, US Meta is seeking a highly skilled and experienced Product Designer to", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 52, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 8, "years_experience_max": 12, "role_function": "design", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "82e1120eeb49a852a825e3e6cf10310d", "title": "Technical Program Manager", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 200907, "salary_max": 208944, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 200907, "base_salary_max": 208944, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/2166859170719900/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Technical Program Manager Menlo Park, CA Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "product", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": 2, "roll_up_total_locations": 2 }, { "id": "82b369dea780ccb536a6ad09e190c3c2", "title": "Network Engineer, Foundation and Support (Edge/Backbone Infrastructure Design)", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Denver, CO; Reston, VA", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 106995, "salary_max": 159000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 106995, "base_salary_max": 159000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1565004731662609/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Network Engineer, Foundation and Support (Edge/Backbone Infrastructure Design) Denver, CO; Reston, VA The Edge & Network Services (ENS) team at Meta is looking for individuals ready to tackle the challenges", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "design", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": 30, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": 3, "roll_up_total_locations": 2 }, { "id": "8275b017fedb696b49752025ebb39486", "title": "Network Site Investments Manager", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Denver, CO; Bellevue, WA; Austin, TX; Menlo Park, CA; Seattle, WA; Washington, DC; Boston, MA; New York, NY", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 162000, "salary_max": 227000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 162000, "base_salary_max": 227000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1487341723193707/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Network Site Investments Manager Denver, CO; Bellevue, WA; Austin, TX; Menlo Park, CA; Seattle, WA; Washington, DC; Boston, MA; New York, NY Meta operates one of the largest and most", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "8261c195b6e85963e0051d4e20e9890e", "title": "Software Engineer, iOS", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA; New York, NY", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 154003, "salary_max": 217000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 154003, "base_salary_max": 217000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/2744410602616808/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, iOS Menlo Park, CA; New York, NY Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 6, "years_experience_max": 7, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": 4, "roll_up_total_locations": 4 }, { "id": "81f626b0927ee98da0f296a45fad6d06", "title": "Finance and Business Operations Manager, Facebook", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 162000, "salary_max": 229000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 162000, "base_salary_max": 229000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1209793371076429/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Finance and Business Operations Manager, Facebook Menlo Park, CA Finance and Business Planning (FBP) is Meta's strategic finance organization, responsible for helping the company to plan, prioritize, and allocate resources", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 7, "years_experience_max": 11, "role_function": "operations", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "81a2f8d7434a745fe097ac774e5adefa", "title": "Research Scientist Manager, MetaAI Assistant Measurement", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 219000, "salary_max": 301000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 219000, "base_salary_max": 301000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/816343714639198/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Scientist Manager, MetaAI Assistant Measurement Menlo Park, CA Meta Superintelligence Labs is seeking a Research Scientist Manager to lead a high-impact team working on the next generation of AI", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 12, "years_experience_max": 16, "role_function": "data", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "816425e4843ea3e35ba1aa8209dda328", "title": "Software Engineer (Technical Leadership)", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 271000, "salary_max": 347000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 271000, "base_salary_max": 347000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/978903851762450/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer (Technical Leadership) Menlo Park, CA We are the teams who create all of Facebook’s product used by more than 1.5 billion people around the world. Want to build", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 12, "years_experience_max": 15, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": 2, "roll_up_total_locations": 2 }, { "id": "8120750d820a6dd9c89868ed4a9d149b", "title": "Data Engineer, Analytics (Technical Leadership)", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA; New York, NY; San Francisco, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 210000, "salary_max": 281000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 210000, "base_salary_max": 281000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/875077395010020/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Engineer, Analytics (Technical Leadership) Menlo Park, CA; New York, NY; San Francisco, CA Every month, billions of people leverage Meta products to connect with friends and loved ones from", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 10, "years_experience_max": 14, "role_function": "data", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "811cece28c5e61e5a968b3f46c9f0e4a", "title": "Research Data Program Manager", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 160000, "salary_max": 223000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 160000, "base_salary_max": 223000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1256193859947791/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Data Program Manager Menlo Park, CA The Meta SuperIntelligence Lab is dedicated to developing AI-powered experiences for consumers, leveraging Meta's cutting-edge models. We are looking for a Research Data", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 8, "years_experience_max": 9, "role_function": "operations", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "7f5748ea2ff062cd8a38d3e2579e56c9", "title": "Data Scientist, Evaluations - Meta Superintelligence Labs", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA; New York, NY", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 177000, "salary_max": 247000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 177000, "base_salary_max": 247000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/852803947781269/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Scientist, Evaluations - Meta Superintelligence Labs Menlo Park, CA; New York, NY Meta is seeking a Data Scientist to join the Evaluations team within Meta Superintelligence Labs (MSL). Evaluations", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 6, "years_experience_max": 7, "role_function": "data", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "7e1847566e3a1fc26650bf0b6c5178fa", "title": "Optical Architect - AI Accelerators", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Sunnyvale, CA; Redmond, WA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 173000, "salary_max": 245000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 173000, "base_salary_max": 245000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/959413423617471/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Optical Architect - AI Accelerators Sunnyvale, CA; Redmond, WA Optical Engineers at Meta will play a pivotal role in shaping the future of wearable systems, exploring uncharted territories for next-generation", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 8, "years_experience_max": 12, "role_function": "other", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "7d3fb077f34b34316ae557062979826e", "title": "Executive Administrative Partner", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 122907, "salary_max": 201500, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 122907, "base_salary_max": 201500, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1247269954046749/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Executive Administrative Partner Menlo Park, CA Meta is seeking an experienced Executive Administrative Partner to support the VP of Infrastructure. The person in this role will need to have experience", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 6, "years_experience_max": 10, "role_function": "other", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": 8, "roll_up_total_locations": 4 }, { "id": "7c891a126e65dd0e8d43dc225d8b044a", "title": "Robotics Engineer - Logistics and Material Flow", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Fremont, CA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 208000, "salary_max": 289000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 208000, "base_salary_max": 289000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/1268821778554702/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Robotics Engineer - Logistics and Material Flow Fremont, CA Meta is seeking a Robotics Engineer to join our Infra Robotics team. This team implements advanced robotics technologies to enable efficient", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 10, "years_experience_max": 14, "role_function": "operations", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": 15, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "7af73697eb0badfe003842bc5442f51c", "title": "UX Researcher, Qualitative", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA; New York, NY", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 164000, "salary_max": 227000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 164000, "base_salary_max": 227000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/599243686293692/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "UX Researcher, Qualitative Menlo Park, CA; New York, NY Our UX Research team is designing for the broad spectrum of human needs, which requires us to understand the behaviors of", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 10, "years_experience_max": 14, "role_function": "design", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": 2, "roll_up_total_locations": 1 }, { "id": "7aa205e5617bff061f4636bf731fd105", "title": "Product Manager (Leadership) - PAR", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Menlo Park, CA; Seattle, WA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 249000, "salary_max": 323000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 249000, "base_salary_max": 323000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/2727073531024425/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Product Manager (Leadership) - PAR Menlo Park, CA; Seattle, WA At Meta, we’re shaping innovative experiences in service of giving people the power to build community and bring the world", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "product", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "7a7eaf160866af24c31cb5a778cfc122", "title": "Applied Research Scientist, Computational Mathematics, Physics, & Controls", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Redmond, WA", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 184000, "salary_max": 257000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 184000, "base_salary_max": 257000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/972883978494112/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied Research Scientist, Computational Mathematics, Physics, & Controls Redmond, WA We are seeking an applied research scientist and research engineer with a background in computational mathematics and physics simulation to", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "79b1deb9bd16d13685406da523f72870", "title": "Public Policy Manager, East", "employer_name": "Meta", "employer_slug": "meta", "location_text": "New York, NY", "country": "US", "employment_type": "contract", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 153000, "salary_max": 224000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 153000, "base_salary_max": 224000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/952335270839122/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Public Policy Manager, East New York, NY Meta seeks an experienced professional to support the company’s state public policy and government relations efforts. Candidates will be responsible for political engagement", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "senior", "years_experience_min": 8, "years_experience_max": 12, "role_function": "other", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null }, { "id": "7909f07e2eb41ba68457caa518b84c6f", "title": "Research Engineer, MRS AI", "employer_name": "Meta", "employer_slug": "meta", "location_text": "Bellevue, WA; Menlo Park, CA; New York, NY", "country": "US", "employment_type": "full_time", "remote_status": "onsite", "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": 121992, "salary_max": 181000, "salary_currency": "USD", "salary_type": "base", "salary_period": "year", "base_salary_min": 121992, "base_salary_max": 181000, "salary_disclosed": true, "equity_included": false, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "profit_sharing": false, "bonus_offered": false, "top_startup_sources": [], "posted_at": "2026-05-03T11:02:53.604Z", "apply_url": "https://www.metacareers.com/jobs/2940269159502936/", "apply_url_verified": false, "ats": "meta_custom", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Research Engineer, MRS AI Bellevue, WA; Menlo Park, CA; New York, NY Meta is seeking a Research Engineer to join our Meta Recommendation Systems (MRS) AI Algorithm Team. Join us", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 44, "benefit_verified": false, "benefit_last_verified": "2026-05-07T13:50:00Z", "hire_states_allowed": [], "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": "Technology", "employer_size": "5000+", "quality_score": 55, "travel_pct": null, "requires_shift": null, "contractor_w2": "unknown", "required_timezone": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null } ], "total": 689, "page": 14, "per_page": 24, "applied_filters": { "q": "Meta", "quality_floor": "all", "match_401k_strict": false, "parental_strict": false, "non_birth_strict": false, "pto_strict": false, "include_older": false, "page": 14, "per_page": 24, "sort": "relevance" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "all" }