Staff Machine Learning Engineer, Personalization
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.
Key Responsibilities:
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
Qualifications
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.
Tubi is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records. We are an E-Verify company.
Apply Now
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.
Key Responsibilities:
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
Qualifications
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.
Tubi is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records. We are an E-Verify company.
Apply Now