Principal Machine Learning Engineer, Tubi

• 10+ years of industry experience in Machine Learning
• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
• Expertise in deep learning technologies for recommendation systems, including experience with 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

• 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
• 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

• Healthcare Coverage: We offer medical, dental, and vision coverage, effective from day one
• Family Support: We’re proud to support families of all kinds, and offer generous parental leave, childcare support, and eldercare assistance whenever you need it
• Wellness Programs: Monthly wellness reimbursement, generous time off, and additional Tubi Holidays help us support mental and physical wellbeing for you and your family
• Continuing Education: From education reimbursement to leadership development to certification support, we’re invested in developing our talent so you can take your career to the next level
• Financial Support: We offer resources to help keep you financially fit and invested in your future, from our highly-rated retirement savings matches to financial advisors and planning services

Total funding: $74.7m

Tubi is a streaming service that was founded in 2014 with the mission of offering subscribers premium television and movies for free. To achieve this, the streaming service relies on ad revenue to support its extensive content library. Rather than focusing on producing original content, Tubi emphasizes acquiring the right to preexisting shows and movies.