Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
San Francisco, California, United States
Key technologies and capabilities for this role
Common questions about this position
The salary range is $239,000 - $342,000 per year for California, plus bonus, Long-Term Incentive Plan, and benefits.
This is a hybrid role requiring presence at the San Francisco office.
Candidates need 8+ years of experience building production ML systems, experience with deep learning technologies like TensorFlow or PyTorch for recommendation systems, and proficiency in full-stack ML pipelines. An MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or related field is also required.
The Machine Learning team drives innovation in personalized user experiences, tackling large-scale challenges in recommendations, search, content understanding, and ads optimization, while collaborating closely with Product, Engineering, and Data Science teams.
Apply through the Tubi Careers Website. Strong candidates will have 8+ years building production ML systems, advanced education in a relevant field, and expertise in deep learning for recommendations and full-stack ML pipelines.
Free ad-supported movie and TV streaming
Tubi provides a free streaming service that allows users to watch a large selection of movies and TV shows without any subscription fees. The platform operates on an ad-supported model, meaning that while users can access content for free, they will see advertisements during their viewing. This approach makes Tubi appealing to individuals who are looking for quality entertainment without the costs associated with services like Netflix or Hulu. Tubi primarily targets a diverse audience, including budget-conscious consumers and those who prefer streaming over traditional cable TV. Currently, Tubi operates in the United States and is working on meeting GDPR requirements to expand into European markets. The company's goal is to offer accessible entertainment while generating revenue through advertising partnerships.