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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 works on core algorithms that define the entire experience of its 33+ million users. We work on different areas such as recommendations, search, content understanding and ads. We are searching for a talented and motivated Principal Machine Learning Engineer to join our team to develop and improve our core search algorithms. In this role, you will take full ownership of tackling problems in Tubi’s search system, from algorithm research and development through prototyping, productionisation and experimentation. You will work with a variety of machine learning algorithms, from traditional models to cutting-edge LLM technologies, to address relevant problems. You need a strong background in machine learning, hands-on development skills to tackle some of the challenges in a fast-paced dynamic environment, and the ability to collaborate well in a cross-functional setting. The tech stack you will be working with is Spark, Scala, and Python, including PyTorch. Responsibilities: Design and build end-to-end machine learning models for search applications from analysis through production. Conduct A/B tests to prove your ideas and share your learnings from the experiment results. Collaborate with Product and backend engineering teams to ship high-impact features. Requirements: 6+ years (for principal) in machine learning engineering with production systems using Scala, Python, and Apache Spark. Experience owning recommendation or search models. MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics, or other technical field. PhD preferred. 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 for this job First Name * Last Name * Email * Phone * Location (City) * Resume/CV * LinkedIn Profile Website Will you now or in the future require sponsorship to work within the United States? * Are you currently employed or have you been employed with Tubi or any Tubi affiliates? * How did you hear about this opportunity? * If referred by a Tubi or Fox employee, please include the referrer's Tubi or Fox email address. #J-18808-Ljbffr