Staff Machine Learning Engineer, Personalization

Posted 2 Days Ago
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San Francisco, CA
Hybrid
Senior level
News + Entertainment
The Role
The Staff Machine Learning Engineer will design and implement advanced algorithms for video personalization, optimize ML pipelines, and collaborate with cross-functional teams to enhance user experiences through innovation in personalized recommendations.
Summary Generated by Built In

Tubi is a global entertainment company and the most watched free TV and movie streaming service in the U.S. and Canada. Dedicated to providing all people access to all the world’s stories, Tubi offers the largest collection of on-demand content, including over 250,000 premium movies and TV episodes and over 300 exclusive originals. With a passionate fanbase and over 80 million monthly active viewers, the company is committed to putting viewers first with free, accessible entertainment for all.

About the Role:

The Machine Learning team at Tubi drives the innovation behind personalized user experiences for millions of viewers worldwide. From enhancing recommendations and search to content understanding and ads optimization, our team tackles large-scale challenges that shape the future of streaming.

We are seeking a highly skilled Staff 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.

This is a hybrid role in our San Francisco office.

What You'll Do:

  • Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
  • Leverage cutting-edge LLMs and Computer Vision to address problems such as feature extraction from video assets
  • 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
  • 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

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 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.

California Compensation

Base ($192,000 to $274,000 / year) + Bonus + Long-Term Incentive Plan + Benefits

#LI-MQ1 #LI-Hybrid

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.

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.

Top Skills

PyTorch
TensorFlow
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The Company
HQ: San Francisco, CA
504 Employees
On-site Workplace
Year Founded: 2014

What We Do

Tubi, a division of FOX Entertainment, is an ad-supported video-on-demand service with more than 40,000 movies and TV shows in the U.S., including a growing library of Tubi Originals, 145+ local and live news, sports and entertainment channels, and 400+ entertainment partners, featuring content from every major Hollywood studio. Tubi gives fans of film, television, news and sports an easy way to discover new content that is completely free.

Tubi is available in the U.S. on Android and iOS mobile devices, Amazon Echo Show, Google Nest Hub Max, Comcast Xfinity X1, Cox Contour, and on connected television devices such as Amazon Fire TV, Vizio TVs, LG TVs, Sony TVs, Samsung TVs, Roku, Apple TV, Chromecast, Android TV, PlayStation 4 & 5, Xbox One & Series X|S, and soon on Hisense TVs globally. Consumers can also watch Tubi content on the web at www.tubi.tv.

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