{"id":817806,"url":"https://alion.io/job/tubitv-machine-learning-engineer-staff-principal","title":"Machine Learning Engineer (Staff & Principal)","company":{"id":179685,"name":"Tubi","domain":"tubi.tv","url":"https://alion.io/company/tubi","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States","Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":239000,"max":342000,"currency":"USD","period":"year","gross":null,"usd_annual":342000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-04-08T21:27:22Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-03T09:01:55Z","board_verified":true,"closed_at":null,"days_open":208,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":208},"description":"About the Role:\nThe Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming.\nWe are seeking a highly skilled Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.\nWhat You'll Do:\nLead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience\nConduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas\nBuild and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment\nContinuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences.\nWork closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement\nYour Background:\n8+ years of industry experience building production Machine Learning systems\nMSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field\nExperience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks\nProficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment.\nSolid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.\nAbility to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.\n#LI-Hybrid #LI-SC1\nPursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.\nHigh cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco\nStaff Level\n$239,000—$342,000 USD\nPrincipal Level\n$292,000—$417,000 USD\nTubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:\nFor US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.\nFor all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.\nFor all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.\nFor all full-time, regular employees, Tubi offers a monthly wellness reimbursement.\nAbout Tubi:\nBoldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.\nWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.","description_format":"text","description_chars":4880,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-12T11:56:25Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 33 · green card filings: 18","filings_12m":33,"filings_prev_12m":23,"green_card_filings_12m":18,"median_offered_wage_usd":211912,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":24}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.525,"p_room":0.28,"age_days":208,"expected_fill_days":68,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":342000,"is_top_pay":true},"html_url":"https://alion.io/job/tubitv-machine-learning-engineer-staff-principal","json_url":"https://alion.io/job/tubitv-machine-learning-engineer-staff-principal.json","meta":{"generated_at":"2026-11-03T09:38:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13561,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":179685},"rest":"https://alion.io/mcp/rest/get_company?id=179685"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftubitv-machine-learning-engineer-staff-principal"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftubitv-machine-learning-engineer-staff-principal"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftubitv-machine-learning-engineer-staff-principal"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tubitv-machine-learning-engineer-staff-principal\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftubitv-machine-learning-engineer-staff-principal"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":817806}},{"tool":"search_jobs","arguments":{"company":"tubi.tv","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":817806},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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