Get new jobs for this search by email

Content Summary: Staff Machine Learning Engineer, Personalization at San Francisco, for Tubi Tv Staff Machine Learning Engineer, Personalization 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 drives the innovation behind personalized user experiences for millions of viewers worldwide. From enhancing recommendations and search to content understanding and ads optimization, our team tackles large-scale challenges that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. Key Responsibilities: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience. Leverage cutting-edge LLMs and Computer Vision to address problems such as feature extraction from video assets. Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas. Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement. Qualifications: 8+ years of industry experience building production Machine Learning systems. MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks. Proficiency in building and deploying full-stack machine learning pipelines. Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is 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, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents. Base: $192,000 to $274,000 / year + Bonus + Long-Term Incentive Plan + Benefits 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 * indicates a required field First Name * Last Name * Preferred First Name Email * Phone * Location (City) * Resume/CV * LinkedIn Profile Website #J-18808-Ljbffr