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Machine Learning Infrastructure Engineer

Company: Peloton Interactive, Inc.
Location: New York
Posted on: June 12, 2021

Job Description:

The Role

Peloton's Artificial Intelligence team is looking for an engineer to drive ML Operations and Infrastructure for the Deep Learning / Computer Vision team. Their main focus will be to work closely with ML Engineers and Data/Infrastructure Engineers to build the connective tissue between the data infrastructure, cloud platforms, and machine learning systems that would support faster Datasets Access, Model Research, Continuous Model Training, Generation, and Testing, and smoother Edge Deployment.


  • Build and evolve state-of-the-art systems and operations pipelines to accelerate productionization of the team's ML models.
  • Work with ML Engineers and Data Engineers to implement scalable solutions for ML model development, model lifecycle management, deployment.
  • Build and maintain CI / CD pipelines to automate ML model training, testing, and deployment. Support ML Engineers with Docker and Kubernetes workflows.
  • Expose capabilities that increase the velocity of algorithm and model development, and experimentation


  • 1-3 Years of experience developing scalable cloud infrastructure.
  • 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, Terraform, Docker, Kubernetes, Sagemaker, MLFlow, Airflow, TensorBoard, Jupyter, MySQL/NoSQL. Entrepreneurial and self-directed, innovative, biased towards action in fast-paced environments. Able to take complete ownership of a feature or project.

Bonus Points

  • Previous experience with developing machine learning infrastructure.
  • Strong background working with large amounts of Computer Vision data, associated annotations and meta-data.
  • Experience setting up ML CI / CD pipelines, testing and validating code and components, testing and validating data, data schemas, and models.
  • Ability to build full-stack web or mobile applications/services for internal tooling.


Peloton uses technology + design to connect the world through fitness, empowering people to be the best version of themselves anywhere, anytime. We have reinvented the fitness industry by developing a first-of-its-kind subscription platform. Seamlessly combining hardware, software, and streaming technology, we create digital fitness and wellness content and products that Members love. In 2020 Peloton committed to becoming an antiracist organization with the launch of the Peloton Pledge. Learn more, here.

"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. In order to be the best version of Peloton, we are deeply committed to building a diverse workforce and inclusive culture where all of our team members can be the best version of themselves. This work has no endpoint; it is the constant work of running an organization that strives to reach its full potential. As a first step in our commitment, we announced the Peloton Pledge to invest $100 million over the next four years to fight racial injustice and inequity in our world, and to promote health and wellbeing for all, from the inside out.

Keywords: Peloton Interactive, Inc., New York , Machine Learning Infrastructure Engineer, Other , New York, New York

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