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Machine Learning Infrastructure Engineer - New York New York
Company: Disability Solutions Location: New York, New York
Posted On: 09/12/2024
ABOUT THE ROLEThe 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 Software Engineer to drive ML infrastructure and operations for the AI/ML teams. The main focus will be to work closely with ML Engineers, Data Engineers, Software Engineers, and Data Scientists to help support the future of ML development within connected fitness. The Engineer will build the connective tissue between the data infrastructure and ML teams focusing on vital tools and infrastructure to support model development and deployment pipelines, CI/CD, testing and offline experimentation at scale. This is an outstanding opportunity in the industry for someone to work on infrastructure and tooling that supports both computer vision as well as recommender systems.YOUR DAILY IMPACT AT PELOTON - Help build, evolve, and scale innovative machine learning system infrastructure powering Peloton's connected fitness data.
- Work with other ML Engineers, Researchers and Backend Engineers to implement scalable infrastructure solutions for ML model development, model lifecycle management, model monitoring, and offline experimentation.
- Work on building an internal training platform that accelerates the velocity of offline experimentation for ML Engineers.
- Collaborate with other ML Engineers and Data Engineers to build and deploy data stores that support batch pipelines as well as real-time recommendations.YOU BRING TO PELOTON
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