Senior Infrastructure Engineer, Machine Learning, AI at Peloton
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
- 1-3 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.
- 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.
Please note: This is a full-time position that will be remote initially (due to COVID-19) and based in our NYC HQ once safe to re-open the office.
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.
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: [email protected]
Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.
If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email [email protected] before taking any further action in relation to the correspondence.
Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.
