Machine Learning Engineer III
Core
Build and optimize AI/ML pipelines and recommender systems to drive personalization and content discovery for Peloton members across multiple platforms.
Role type
Senior Machine Learning Engineer (Recommender Systems & LLMs)
Builds
Scalable microservices, real-time ML inference endpoints, and LLM-based personalization features for millions of users.
Domain
Connected fitness, AI, Machine Learning, Recommender Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Recommender systems, Natural Language Processing (NLP), Computer Vision, Python, Java, Kotlin, Go, C/C++, Relational and non-relational databases (Postgres, MySQL, Cassandra, DynamoDB), MLOps, Automated evaluation pipelines, Model monitoring, Microservices architecture, Low-latency ML serving
Preferred skills
MS/PhD in quantitative fields, Near real-time ML application experience, Product launch collaboration
Technologies
Python, Java, Kotlin, Go, C/C++, Postgres, MySQL, Cassandra, DynamoDB
Responsibilities
Build and improve AI/ML pipelines for recommendations, Research and apply best-in-class ML techniques for recommender systems, Evaluate and improve machine learning models, Run A/B tests and analyze results, Engineer and deploy scalable microservices for ML inference, Develop evaluation pipelines to measure model performance and bias, Architect and manage ML infrastructure for LLM-based features
Seniority
Senior, hands-on IC
