Machine Learning Infrastructure Engineer
Company: Peloton Interactive, Inc.
Location: New York
Posted on: June 12, 2021
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
- Work with ML Engineers and Data Engineers to implement scalable
solutions for ML model development, model lifecycle management,
- 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
- 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
- Previous experience with developing machine learning
- 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,
"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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