Peloton Interactive, Inc. seeks to improve machine learning pipelines that power Peloton’s content recommendations
Requirements
- Deep learning
- Recommender Systems
- Spark
- CNNs
- Computer Vision
- Image processing
- TensorFlow
Responsibilities
- Build and improve machine learning pipelines that power Peloton’s content 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 the product analysts
- Productionize, deploy, and monitor machine learning models and services
- Collaborate and work closely with the platform teams to leverage their tools and infrastructure to rapidly iterate on ideas that drive delightful, personalized experiences for millions of users
Other
- Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline
- One (1) years of experience in the job offered or in any occupation in related field
- Telecommuting is an option
- Some travel to Peloton offices may be required
