The AI/ML organization works on ML-powered consumer products that incorporate computer vision and recommender systems into the fitness domain. We are looking for a senior software engineer to drive ML infrastructure and operations for the AI/ML teams. Their main focus will be to work closely with ML Engineers, data engineers, software engineers and data analysts to help support the future of machine learning development in connected fitness. The engineer will build the connective tissue between the data infrastructure teams and machine learning engineers focusing on vital tools and infrastructure to support model development & deployment pipelines, CI / CD, testing and offline experimentation at scale. This is a unique opportunity in the industry for someone to work on infrastructure and tooling that support both computer vision as well as recommender systems.
ABOUT PELOTON:
Peloton (NASDAQ: PTON), provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together immersive classes, cutting-edge technology and hardware, and the Peloton App with multiple tiers to personalize the Peloton experience [with or without equipment]. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.
At Peloton, we motivate the world to live better. “Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, and so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.
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