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ABOUT THE ROLE The Personalization team at Peloton is looking for a senior machine learning infrastructure 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 drive 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. Work closely with ML engineers to bring models to production efficiently, ensuring seamless integration with backend services. Produce, deploy, and monitor Personalization/machine learning services. Ensure high availability and performance of backend services through load balancing, caching strategies, and auto-scaling techniques. Assume technical responsibility for Personalization services, and work with engineers to scale and improve the testability of our production systems. Conduct capacity planning and performance tuning to support high-traffic personalization workloads. 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 Strong understanding of software engineering principles and fundamentals including data structures and algorithms. Experience writing code in Python, Java, Kotlin, Go, or C/C++ with documentation for reproducibility. Strong experience deploying and managing services on AWS, GCP, or Azure. Experience with message queues (Kafka, RabbitMQ, SQS) to handle real-time event-driven architectures. Proficiency in debugging, profiling, and tuning backend services (e.g., using flame graphs, p99 latency tracking). Proficiency with relational and non-relational databases such as Postgres, MySQL, DynamoDB, Redis. Experience designing RESTful APIs. Experience working with gRPC and designing microservices from the ground up. Experience with concurrency and parallelism in Python and/or Java. B.S. Degree in Computer Science/Engineering and 5+ years of experience in Software Engineering. ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction and world-class content 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 brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence, or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law.

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