Staff & Principal Machine Learning Engineer

• We are seeking a highly skilled 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

• 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 high-impact 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 Data Science 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.

• Competitive Compensation.

• 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.- Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks

• 8+ years of industry experience building production Machine Learning systems

• 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

• Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment

• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field