Join Tubi (www.tubi.tv), a division of FOX Entertainment, a premium streaming service leading the charge in making entertainment accessible to all. Headquartered in San Francisco, Tubi is an ad-supported video on demand (AVOD) service with movies and television shows. With over 40,000 titles from every major Hollywood studio, Tubi gives fans of movies and television shows an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming. Our services are currently available in the US, Canada, Australia, New Zealand, and Mexico.
About the Role:
We’re looking for a hands-on candidate who can leverage their prior personalization/ad tech experience and lead a team of machine learning engineers. Some of the problems your team will tackle include R&D on sophisticated recommender systems, improving and building the next generation embeddings from rich interaction data, knowledge graphs, textual data, etc., building production models and pipelines for content and understanding the use of NLP for downstream applications like cold starting, helping our studio partners determine what kind of movies/shows they should produce next, and much more. This candidate needs to be a strong leader to help build out the team and create a culture of mathematical rigor, experimentation as well as efficient & effective iteration.
MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics or related field. PhD preferred
5+ years hands on industry experience in an ML related role
2+ years of experience leading and managing an ML team
Hands-on experience with the following areas: recommender systems, deep learning, natural language processing, non-linear optimization, learning to rank, etc.
Ability to easily go from idea to working prototype in Python and/or Scala. Previous experience with Apache Spark is a plus
Tubi is proud to be an equal opportunity employer and consider 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 for employment qualified applicants with arrest and conviction records. We are an E-Verify company.