Senior Machine Learning Engineer, Personalization

ABOUT THE ROLE

The Personalization team at Peloton is looking for a machine learning engineer to design, build and maintain low latency and highly scalable content recommendations services for our super engaged members across multiple platforms. You will have a unique opportunity to build systems and services to provide real time recommendations and best in-class experience for the world’s leading at home fitness platform. You will work closely with other ML Engineers, API Engineers and Product Managers to build and test new ML product features. We’re looking for someone who’s passionate about fitness, and is excited about the challenges of unlocking the power of machine learning in a production environment. 

YOUR DAILY IMPACT AT PELOTON

• Design and build Python microservices that power Peloton’s content recommendations.
• Create, deploy and monitor Personalization/machine learning services.
• Assume technical responsibility for Personalization services, and work with engineers to scale and improve testability of our production systems.
• Run A/B tests and experiments and analyze the results in collaboration with our product analysts.
• Collaborate and work 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

• B.S. Degree in Computer Science/Engineering and 5+ years of experience in Software Engineering.
• Solid 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 with designing RESTful API. 
• Experience working with gRPC and designing microservices from ground up.
• Experience with concurrency and parallelism in Python and/or Java.

BONUS

• Experience/Interest working in at least one of following ML disciplines: recommender systems, natural language processing or computer vision.
• Experience with building real-time ML applications with NVIDIA Triton/TorchServe.
• Experience working with Graph Databases (Neo4j).
• Have Github project(s) or contribute to open source communities.
• Have experience in building secure consumer facing APIs.
• Have experience leading backend development and engineering. 
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.

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The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.

As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits 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 so much more!  Base Salary Range$199,200—$258,800 USD

 

ABOUT PELOTON:

Peloton provides Members with expert instruction, world-class content and the fitness industry's leading music library to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton offers an immersive and personalized experience [with or without equipment]. Access Peloton content via the Peloton Bike, Bike+, Tread, Guide, Row or the Peloton App, now with multiple membership tiers. Founded in 2012 and headquartered in New York City, Peloton has a highly engaged community of nearly 7 million Members across the US, UK, Canada, Germany, and Australia. 

Peloton is an equal opportunity employer and complies with all applicable federal,