{"id":817826,"url":"https://alion.io/job/tubitv-staff-software-engineer-ml-infra-distributed-systems","title":"Staff Software Engineer, ML Infra & Distributed Systems","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":79,"open_postings":8,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","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":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":194000,"max_usd":366000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":197},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Feature Store","optional":false},{"name":"Go","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"A/B Testing","optional":true},{"name":"Akka","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Cassandra","optional":true},{"name":"Docker","optional":true},{"name":"Elixir","optional":true},{"name":"Erlang","optional":true},{"name":"FAISS","optional":true},{"name":"Feast","optional":true},{"name":"Kubernetes","optional":true},{"name":"LanceDB","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Redis","optional":true},{"name":"SQL","optional":true},{"name":"Triton","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2025-09-16T21:09:14Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-31T04:55:43Z","board_verified":true,"closed_at":null,"days_open":409,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":409},"description":"About the Role:\nAs a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.\nA core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.\nYou will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.\nResponsibilities:\nDesign and build scalable, high throughput, and low latency distributed systems using Scala\nBuild reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration\nPartner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.\nTake a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary\nMentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.\nCollaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. \nYour Background:\nExperience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.\nStrong experience with AWS or an equivalent cloud platform\nExperience building online microservices at scale with low latency serving\nExperience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)\nExperience with containerization technologies, such as Docker or Kubernetes\nLed the response and resolution efforts for multiple major, large-scale incidents\nBonus:\nFamiliarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.\nUnderstanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus\nPrevious experience with Akka, Erlang, Elixir or Go\nProficient in data-driven analysis of complex A/B testing results\nAbout Tubi:\nTubi 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.\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 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\n$227,200—$324,500 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":5788,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"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":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.378,"p_room":0.28,"age_days":409,"expected_fill_days":68,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/tubitv-staff-software-engineer-ml-infra-distributed-systems","json_url":"https://alion.io/job/tubitv-staff-software-engineer-ml-infra-distributed-systems.json","meta":{"generated_at":"2026-10-31T08:31:18Z","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":12712,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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-staff-software-engineer-ml-infra-distributed-systems"},{"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-staff-software-engineer-ml-infra-distributed-systems"},{"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-staff-software-engineer-ml-infra-distributed-systems"},{"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-staff-software-engineer-ml-infra-distributed-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftubitv-staff-software-engineer-ml-infra-distributed-systems"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":817826}},{"tool":"search_jobs","arguments":{"company":"tubi.tv","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":817826},"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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