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HomeCompaniesTubiMachine Learning Engineer (Staff & Principal)

Machine Learning Engineer (Staff & Principal)

Tubi · San Francisco, CA; Los Angeles, CA; New York, NY (Hybrid) · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanyTubi
TitleMachine Learning Engineer (Staff & Principal)
Normalized title-
Department / teamEngineering
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-08 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Tubi.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTubi
Source2b59b273-1a8a-4516-88b4-1757a26270a0
ATS providerGreenhouse

Description

About the Role: The 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. We 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. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work 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 Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment. Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning. Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions. #LI-Hybrid #LI-SC1 Pursuant 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. High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco Staff Level $239,000 — $342,000 USD Principal Level $292,000 — $417,000 USD Tubi 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: For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time. For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters. For 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. For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. About Tubi: Boldly 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. We 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.

Full job record

Job ID827088bcb328e874473b24991739e51f11bcf14a
Org ID6547d2dd-358b-4b09-8275-ff99cae3f972
Source ID2b59b273-1a8a-4516-88b4-1757a26270a0
Board ID2b59b273-1a8a-4516-88b4-1757a26270a0
Providergreenhouse
Provider Job Key7702258
TitleMachine Learning Engineer (Staff & Principal)
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA; Los Angeles, CA; New York, NY (Hybrid)
DepartmentEngineering
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/tubitv/jobs/7702258
Apply URLhttps://job-boards.greenhouse.io/tubitv/jobs/7702258
First Seen At2026-05-29 22:40:17Z
Last Seen At2026-06-06 19:44:41Z
Last Checked At2026-06-06 19:44:41Z
Last Changed At2026-05-29 22:40:17Z
Inactive At
Source Posted At2026-04-08 21:27:22Z
Source Updated At2026-05-01 21:41:35Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=tubitv/date=2026-06-06/2026-06-06T19-44-41-808Z-49718c4005d0cbc40c60f6d9bc1cbf672b6cb42b50c1f96c04e4d77345f1ca59.json
Event Fields
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}
Parsed Structured
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  "launch_scope": {
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}
Extensions
{}
Native Structured
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      "name": "Engineering",
      "child_ids": [],
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  "company_name": "Tubi",
  "requisition_id": 3225339,
  "first_published": "2026-04-08T17:27:22-04:00",
  "application_deadline": null
}
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