Machine Learning Infrastructure Engineer, Full Stack, CV - Peloton Interactive : Job Details

ABOUT THE ROLE

Peloton's Artificial Intelligence team is looking for an engineer to drive ML Operations and Infrastructure for the Deep Learning / Computer Vision team. The role's 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.

YOUR DAILY IMPACT AT PELOTON

• Build and evolve state-of-the-art systems and operations pipelines to accelerate productionisation of the team's ML models.
• Work with ML Engineers and Data Engineers to implement scalable solutions for ML model development, model lifecycle management, deployment.
• 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.

YOU BRING TO PELOTON

• Hands-on experience with developing scalable cloud infrastructure.
• Strong programming background, with extensive experience in Python.
• Substantial experience with multiple technologies from the following list: AWS, Terraform, Docker, Kubernetes, Sagemaker, MLFlow, Airflow, TensorBoard, Jupyter, MySQL/NoSQL.
• Interested in picking up new tools/technologies required for development.
• Capacity to work in high growth, fast-paced environments, and can adapt to change.
• Experience with C, C++, Java, Swift, or more general purpose programming languages is a plus.
• Previous experience with developing machine learning infrastructure.
• 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.

ABOUT PELOTON:

Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.

Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law.