ABOUT THE ROLE

The AI/ML organization works on ML-powered consumer products that incorporate computervision and recommender systems into the fitness domain. We are looking for a senior softwareengineer to drive ML infrastructure and operations for the AI/ML teams. Their main focus will be to work closely with ML Engineers, data engineers, software engineers and data analysts to help support the future of machine learning development in connected fitness. The engineer will build the connective tissue between the data infrastructure teams and machine learning engineers focusing on vital tools and infrastructure to support model development & deployment pipelines, CI / CD, testing and offline experimentation at scale. This is a unique opportunity in the industry for someone to work on infrastructure and tooling that support both computer vision as well as recommender systems. 

YOUR DAILY IMPACT AT PELOTON

• Build, evolve, and scale state-of-the-art machine learning system infrastructure powering Peloton’s connected fitness data. 
• Work with other machine learning 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 offlineexperimentation 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. 

YOU BRING TO PELOTON 

• 2+ Years of experience developing infrastructure and platforms to power Machine Learning at scale. 
• Strong programming background, with extensive experience in Python. Experience with C, C++, Java, Swift, or more general purpose programming languages is a plus.
• Substantial experience with multiple technologies from the following list: AWS, MLFlow, Airflow, PyTorch, Jupyter, Kubernetes, MySQL & NoSQL databases, Kubeflow.
• Entrepreneurial and self-directed, innovative, biased towards action in fast-paced environments. 
• Able to take complete ownership of a feature or project. 
• Bonus: Experience setting up ML CI / CD pipelines, testing and validating code and components, testing and validating data, data schemas, and models.
• Bonus: Experience working with large datasets with distributed data processing frameworks like Spark.
• Bonus: Experience building an internal training platform that supports multiple ML engineers with their offline experimentation.

Base Salary: $199,200.00 to $258,800.00

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!

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