Tubi is seeking to improve personalized user experiences for millions of viewers worldwide through advanced machine learning algorithms and systems.
Requirements
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.
10+ years of industry experience in Machine Learning.
MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
Responsibilities
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.
Other
MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
10+ years of industry experience in Machine Learning.
Flexible Time off Policy to manage all personal matters.
Generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child.
