at Peloton Interactive, Inc. in Augusta, Maine, United States
The Artificial Intelligence team at Peloton is looking for a Software Engineer to drive software development efforts for AI technology in our upcoming products. Their main focus will be to work closely with other ML Engineers, data engineers, and data analysts to help support the future of machine learning and connected fitness. They will be responsible for building tools and infrastructure required for data processing, Model development, ML Operations and QA efforts. They will also engage actively in model development, analysis and data analysis as part of their work and will be a part of much bigger cross-functional effort across the organization.
+ Establish and evolve formal processes for tooling and infrastructure for both model development and analysis, ensuring that the team is using industry-accepted best practices and adapt that specifically to our products.
+ Engage in model failure analysis and data analysis actively as part of model development..
+ Define, develop and execute tools, scripts, plans and procedures (both manual and automated).
+ Develop infrastructure required for ML operations, QA efforts, Data and failure analysis.
+ Collaborate actively with other cross functional data, software and ML teams.
+ 1-3 Years of experience developing infrastructure and platforms to power AI efforts 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/computer vision models and infrastructure.
+ Strong background working with large amounts of time series data and image 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.
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 (https://blog.onepeloton.com/peloton-pledge-first-steps/) .
“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.
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