Machine Learning Engineer Iii

ABOUT THE ROLE &nbsp; The Personalization team at Peloton is looking for a machine learning engineer to drive personalization and recommendations for our highly engaged members across multiple platforms. Your main focus will be to optimize the engagement and discovery of Peloton content through research and application of AI and ML techniques for content and non-content recommendations. You will own the end-to-end lifecycle of our ML products, from data engineering and foundational infrastructure to building scalable microservices and LLM-based solutions that serve our users in real-time. You will work closely with ML Engineers, Software Engineers, Product Managers and Product Analysts to test ideas that drive member engagement. You will have a unique opportunity to work with one of the most granular data related to member engagement in the fitness industry. We’re looking for someone who’s passionate about fitness and is excited about the challenges of AI and machine learning to define the future of connected fitness. &nbsp; YOUR DAILY IMPACT AT PELOTON &nbsp; Build and improve AI and ML pipelines that power Peloton’s recommendations Research and apply best-in-class machine learning techniques for recommender systems Evaluate, implement, and improve machine learning models Run A/B tests and experiments and analyze the results in collaboration with our product analysts Engineer, deploy, and monitor scalable microservices that serve high-concurrency machine learning inference endpoints <