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The Machine Learning Engineer will enhance Peloton's content recommendations through AI and ML techniques. Responsibilities include building ML pipelines, applying machine learning models, collaborating with teams, and running A/B tests to optimize member engagement.
As an Android Engineer at Peloton, you will develop and improve customer-facing mobile applications, specifically for Android using Kotlin. You'll work on features for the Peloton app and contribute to team development processes and mentorship of other engineers.
The Machine Learning Infrastructure Engineer will develop and maintain ML infrastructure and tools to support model development, deployment pipelines, and offline experimentation. Responsibilities include collaborating with ML and Data Engineers, implementing scalable solutions, and building an internal training platform for ML engineers.