Machine Learning Infrastructure Engineer - Peloton Interactive : Job Details

ABOUT THE ROLE

The AI/ML organization works on ML-powered consumer products that incorporate computer vision and recommender systems into the fitness domain. We are looking for a Software Engineer to drive ML infrastructure and operations for the AI/ML teams. The main focus will be to work closely with ML Engineers, Data Engineers, Software Engineers, and Data Scientists to help support the future of ML development within connected fitness. The Engineer will build the connective tissue between the data infrastructure and ML teams focusing on vital tools and infrastructure to support model development and deployment pipelines, CI/CD, testing and offline experimentation at scale. This is an outstanding opportunity in the industry for someone to work on infrastructure and tooling that supports both computer vision as well as recommender systems.

• Help build, evolve, and scale innovative machine learning system infrastructure powering Peloton's connected fitness data.
• Work with other ML Engineers, Researchers and Backend Engineers to implement scalable infrastructure solutions for ML model development, model lifecycle management, model monitoring, and offline experimentation.
• Work on building an internal training platform that accelerates the velocity of offline experimentation for ML Engineers.
• Collaborate with other ML Engineers and Data Engineers to build and deploy data stores that support batch pipelines as well as real-time recommendations.

• Experience developing infrastructure and platforms to power ML at scale.
• Programming background, with experience in Python, experience with C, C++, Java, or more general purpose programming languages is a plus.
• Experience with multiple technologies from the following list: AWS, MLFlow, Airflow, PySpark, Jupyter, Kubernetes, MySQL & NoSQL databases, Kubeflow.
• Bonus: Experience in setting up ML CI/CD pipelines (Jenkins / GHA), testing and validating code and components, testing and validating data, data schemas, and models.
• Bonus: Working with large datasets with distributed data processing frameworks like Spark.
• Bonus: Building an internal training platform that supports multiple ML engineers with their offline experimentation.

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!

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 immersive classes, cutting-edge technology and hardware, and the Peloton App with multiple tiers to personalize the Peloton experience [with or without equipment]. 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.

At Peloton, we motivate the world to live better. “Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, and so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.

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.