Top Benefits
About the role
Who you are
- 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
What the job involves
- 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 highly skilled Principal Machine Learning Engineer to contribute to transformative projects in video personalization, with a focus on recommendation foundation modeling
- 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
- Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
- 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 robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
- Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences
- Work closely with Product, Engineering, and Content teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement
Benefits
- 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
About Tubi
Tubi is the most watched free TV and movie streaming service in the U.S., dedicated to providing all people access to all the world's stories. As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest content library of over 275,000 movies and TV episodes, a growing collection of Tubi Originals, and nearly 250 FAST channels. Tubi is part of the Tubi Media Group, a division of Fox Corporation that oversees the company’s digital businesses
Top Benefits
About the role
Who you are
- 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
What the job involves
- 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 highly skilled Principal Machine Learning Engineer to contribute to transformative projects in video personalization, with a focus on recommendation foundation modeling
- 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
- Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
- 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 robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
- Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences
- Work closely with Product, Engineering, and Content teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement
Benefits
- 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
About Tubi
Tubi is the most watched free TV and movie streaming service in the U.S., dedicated to providing all people access to all the world's stories. As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest content library of over 275,000 movies and TV episodes, a growing collection of Tubi Originals, and nearly 250 FAST channels. Tubi is part of the Tubi Media Group, a division of Fox Corporation that oversees the company’s digital businesses