Staff Machine Learning Engineer

Reposted 23 Days Ago
2 Locations
Remote or Hybrid
239K-342K Annually
Senior level
News + Entertainment
The Role
Lead the development of advanced recommendation systems and ML pipelines. Collaborate with cross-functional teams to enhance user engagement through optimization of machine learning models at scale.
Summary Generated by Built In
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.

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 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
  • 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

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.

California, New York City, Westchester County, NY, and Seattle, WA
$239,000$342,000 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.

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
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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