Machine Learning Engineer

August 29

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Peloton Interactive

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Motivation that moves you.

Fitness • Networked fitness • Android • Cycling • Hardware

5001 - 10000

Description

• Build and improve ML pipelines that power Peloton’s content recommendations. • Research and apply best-in-class machine learning techniques for recommender systems. • Evaluate, implement, and improve machine learning models. • Run A/B tests and experiments and analyze the results in collaboration with our product analysts. • Productionize, deploy and monitor machine learning models and services. • Collaborate and work closely with our platform teams to leverage their tools and infrastructure to rapidly iterate on ideas that drive delightful personalized experiences for millions of users.

Requirements

• Degree in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc. • Experience/Interest working in at least one of following ML disciplines: recommender systems, natural language processing or computer vision. • Strong understanding of software engineering principles and fundamentals including data structures and algorithms. • Experience writing code in Python, Java, Kotlin, Go, C/C++ with documentation for reproducibility. • Experience with relational and non-relational databases such as Postgres, MySQL, Cassandra, or DynamoDB. • Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.

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!