Machine Learning Engineer

About the Role

The Personalization team at Peloton is seeking a Machine Learning Engineer to enhance personalization and recommendations for our engaged members across various platforms. The primary focus will be on optimizing engagement and discovery of Peloton content through AI and ML techniques for content recommendations. The role involves close collaboration with ML Engineers, Software Engineers, Product Managers, and Product Analysts to test ideas that drive member engagement. This position offers a unique opportunity to work with some of the most granular data related to member engagement in the fitness industry. We are looking for someone passionate about fitness and excited about the challenges of AI and machine learning to define the future of connected fitness.

Your Daily Impact at Peloton

• Build and improve ML 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 our product analysts.
• Productionize, deploy, and monitor machine learning models and services.
• Collaborate closely with our platform teams to leverage their tools and infrastructure to rapidly iterate on ideas that drive delightful personalized experiences for millions of users.

You Bring to Peloton

• Degree in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
• Experience or interest in working in at least one of the following ML disciplines: recommender systems, natural language processing, or computer vision.
• Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
• 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 DynamoDB.
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.

Preferred Qualifications

• MS/PhD in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
• Comfortable working with near real-time ML applications.
• Proven track record of working with product managers to launch ML-based product features.

Benefits

Peloton offers a comprehensive benefits package including:

• 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
• Fertility and adoption support and up to 18 weeks of paid parental leave
• Child care and family care discounts
• Free access to Peloton Digital App and apparel and product discounts
• Commuter benefits and Citi Bike Discount
• Pet insurance and more!

Salary

The base salary range for this position is $127,300 to $165,400 USD, depending on individual performance, business objectives, and location.

Join Peloton to be part of a team that is at the forefront of connected fitness, combining hardware, software, content, and more to deliver an exhilarating fitness experience that unlocks our members' greatness.