Machine Learning Engineer (Staff & Principal)

San Francisco, CA; Los Angeles, CA; New York, NY (Hybrid)Posted 9 weeks ago

Role Overview

Tubitv is hiring a Machine Learning Engineer (Staff & Principal). This is a full-time hybrid role, based in San Francisco, CA; Los Angeles, CA; New York, NY (Hybrid). Part of Tubitv's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job 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.

About Tubitv

Tubitv

Data ScienceHybrid

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Frequently Asked Questions

How do I apply for the Machine Learning Engineer (Staff & Principal) position at Tubitv?

Use the Apply button above to submit your application directly to Tubitv. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Machine Learning Engineer (Staff & Principal) role at Tubitv remote or in-office?

This is a hybrid role based in San Francisco, CA; Los Angeles, CA; New York, NY (Hybrid). Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.

What does a Machine Learning Engineer (Staff & Principal) at Tubitv earn?

Tubitv has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Machine Learning Engineer (Staff & Principal) role at Tubitv posted?

This role was posted on May 1, 2026 (69 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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