posted Jun 11

Sr. Machine Learning Infrastructure Engineer

Airflow AWS Java Kubernetes MySQL NoSQL Python PyTorch Spark Swift Go senior

Job Location: Manhattan, New York

Salary: $199,200 - $239,040 a year

Job Description

• 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 backend engineers to implement scalable infrastructure solutions for ML model development, model lifecycle management, model monitoring and offline experimentation • Work on building an internal training platform that accelerates the velocity of offline experimentation for ML engineers • Collaborate with other ML engineers and data engineers to build and deploy data stores that support batch pipelines as well as real-time recommendations

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, MLFlow, Airflow, PyTorch, Jupyter, Kubernetes, MySQL & NoSQL databases, Kubeflow • Entrepreneurial and self-directed, innovative, biased towards action in fast-paced environments • Able to take complete ownership of a feature or project • Bonus: Experience setting up ML CI / CD pipelines, testing and validating code and components, testing and validating data, data schemas, and models • Bonus: Experience working with large datasets with distributed data processing frameworks like Spark • Bonus: Experience building an internal training platform that supports multiple ML engineers with their offline experimentation

Benefits

• Medical, dental and vision insurance • Generous paid time off policy • Short-term and long-term disability • Access to mental health services • 401k, tuition reimbursement and student loan paydown plans • Employee Stock Purchase Plan • Fertility and adoption support and up to 18 weeks of paid parental leave • Child care and family care discounts • Free access to Peloton Digital App and apparel and product discounts • Commuter benefits and Citi Bike Discount • Pet insurance and so much more!

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