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