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Machine Learning Infrastructure Engineer

Machine Learning Infrastructure Engineer
New York, US
171,000 - 205,000
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Job Description


The AI Platform team at Peloton is looking for a full stack engineer to build an interactive data management web application that allows teams to access, label and QA training data for all our computer vision tasks. In this role you will work closely with other software engineers, data managers and Machine Learning engineers to understand the client needs and build features that support all aspects of the data management lifecycle necessary for ML tasks. They will have a unique opportunity to build applications that manage one of the largest fitness related datasets that drives the ML development of our current as well as future connected platforms at Peloton. We’re looking for someone who’s excited about the challenges of data management at scale that defines the future of connected fitness.

To be successful you will need a combination of problem-solving, technical, and communication skills, as well as the ability to handle a mix of disparate tasks which will include project and software development work.


  • Integrate vendor applications that allows teams to QA and label data for ML training needs.
  • Develop new client-facing features that support data management lifecycle.
  • Promote constant refactoring, pair programming, iterative development, and other industry best practices such as CI/CD, test automation, logging, and monitoring in order to ensure confidence in our release process.
  • Write understandable, well tested code and libraries with an eye towards maintainability and scalability.
  • Active engagement in technical discussions during architecture meetings, code reviews, and task breakdown.
  • Help to evolve our system, organically without over-engineering, promoting simplicity and working software.


  • 2+ years of experience with Python and JavaScript/Django and a strong programming background.
  • 2+ years of experience with common AWS technologies like SQS, S3, MWAA etc.
  • Experience with developing and deploying containerized microservices into cloud environments.
  • Understanding test driven development and experience with Jenkins in building out CI/CD pipelines.
  • Interested in picking up new tools/technologies required for development.
  • Capacity to work in high growth, fast-paced environments, and can adapt to change.

Base Salary: $171,600.00 to $205,920.00

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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