Machine Learning Engineer III

📋 Description Build and improve AI and ML pipelines that power Peloton’s 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 our product analysts Engineer, deploy, and monitor scalable microservices that serve high-concurrency machine learning Develop and scale evaluation pipelines to measure model performance and bias in production 🎯 Requirements Degree in highly quantitative fields including Computer Science, Machine Learning, Operational 3+ years of experience working in at least one of following ML disciplines: recommender systems Strong understanding of software engineering principles and fundamentals including data structures Experience writing code in Python, Java, Kotlin, Go, C/C++ with documentation for reproducibility Experience with relational and non-relational databases such as Postgres, MySQL, Cassandra, or Experience writing and speaking about technical concepts to business, technical, and lay audiences 🎁 Benefits Medical, dental and vision insurance Generous paid time off policy Short-term and long-term disability Access to mental health services 401k, tuition reimbursement and student loan paydown plans Employee Stock Purchase Plan