Senior Machine Learning Infrastructure Engineer

Senior Machine Learning Infrastructure Engineer, AI

New York, NY

The Role

The Artificial Intelligence team at Peloton is looking for a Machine Learning Infrastructure Engineer to drive ML infrastructure and operations for the connected fitness AI team. Their main focus will be to work closely with ML Engineers, data engineers, and data analysts to help support the future of machine learning and connected fitness. The ML infrastructure engineer will build the connective tissue between the data infrastructure team and machine learning engineers building vital tools and infrastructure to support data access, data annotation, model generation pipeline, CI / CD and testing.

Responsibilities

• 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 Back End engineers to implement scalable infrastructure solutions for ML model development, model lifecycle management, data annotation and cleaning
• Build and maintain CI / CD pipelines to support ML workflows
• Support ML Engineers and researchers with data access software and tooling
• Expose capabilities that increase the velocity of algorithm and model development and experimentation

Qualifications

• 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, Sagemaker, MLFlow, Airflow, TensorBoard, Anaconda, Jupyter, Kubernetes, MySQL, NoSQL, NFS, Spark.
• 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 time series 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.

ABOUT PELOTON:

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.

Peloton is an equal opportunity employer and committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email:  applicantaccommodations@onepeloton.com

 

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