The AI Platform team at Peloton is looking for a full stack engineer to build an interactive data management web application that allows teams to access, label and QA training data for all our computer vision tasks. In this role you will work closely with other software engineers, data managers and Machine Learning engineers to understand the client needs and build features that support all aspects of the data management lifecycle necessary for ML tasks. They will have a unique opportunity to build applications that manage one of the largest fitness related datasets that drives the ML development of our current as well as future connected platforms at Peloton. We’re looking for someone who’s excited about the challenges of data management at scale that defines the future of connected fitness.
To be successful you will need a combination of problem-solving, technical, and communication skills, as well as the ability to handle a mix of disparate tasks which will include project and software development work.
Integrate vendor applications that allows teams to QA and label data for ML training needs.
Develop new client-facing features that support data management lifecycle.
Promote constant refactoring, pair programming, iterative development, and other industry best practices such as CI/CD, test automation, logging, and monitoring in order to ensure confidence in our release process.
Write understandable, well tested code and libraries with an eye towards maintainability and scalability.
Active engagement in technical discussions during architecture meetings, code reviews, and task breakdown.
Help to evolve our system, organically without over-engineering, promoting simplicity and working software.
Experience with Python and JavaScript/Django and a strong programming background.
Experience with common AWS technologies like SQS, S3, MWAA etc.
Experience with developing and deploying containerized microservices into cloud environments.
Understanding test driven development and experience with Jenkins in building out CI/CD pipelines.
Interested in picking up new tools/technologies required for development.
Capacity to work in high growth, fast-paced environments, and can adapt to change.
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