VP / Director, ML Engineering

Job description

### About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. ### What You’ll Do - Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. - Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. - Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. - Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. - Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. - Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and deliver high-quality user experiences. - Partner with senior leaders across Product, Engineering, and Content to shape ML strategy, influence product and technical priorities, and drive ML investments that deliver measurable viewer and business impact. ### Your Background - 10+ years of industry experience in machine learning, with a strong record of building and deploying end-to-end ML systems at scale. - 5+ years of leadership and management experience, with a proven ability to build and lead strong technical teams while remaining technically hands-on. - MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience. - Deep expertise in deep learning for recommendation and personalization systems, including hands-on experience with TensorFlow, PyTorch, or similar frameworks. - Proficiency in building and deploying full-stack ML pipelines: data extraction, data mining, feature development, model training, testing, and deployment. - Solid command 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 while holding the overall architecture of ML solutions in view. - Excellent communication skills and the ability to influence product and technical strategy. #LI-SC1 #LI-Hybrid #LI-Remote Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as 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, vacation/paid time off and other benefits in accordance with applicable plan documents. VP $350,000—$500,600 CAD Director $292,000—$417,200 CAD Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits: For all salaried 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 (top up in Canada) 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 (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage-replacement programs in addition to contributions made by Tubi. For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. #### About Tubi: Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. *We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.*