Full-Time

Machine Learning Infrastructure Engineer

Updated on 1/22/2025

Peloton

Peloton

1,001-5,000 employees

Home fitness technology with streaming classes

Consumer Software
Education
Consumer Goods

Compensation Overview

$176.7k - $229.8kAnnually

+ Annual Equity Awards + Employee Stock Purchase Plan

Mid, Senior

New York, NY, USA

This is a hybrid position.

Category
Applied Machine Learning
Computer Vision
AI & Machine Learning
DevOps & Infrastructure
Required Skills
Kubernetes
Python
Airflow
MySQL
Jupyter
NoSQL
Machine Learning
Java
AWS
C/C++
Requirements
  • Experience developing infrastructure and platforms to power ML at scale.
  • Programming background, with experience in Python, experience with C, C++, Java, or more general purpose programming languages is a plus.
  • Experience with multiple technologies from the following list: AWS, MLFlow, Airflow, PySpark, Jupyter, Kubernetes, MySQL & NoSQL databases, Kubeflow.
Responsibilities
  • Help build, evolve, and scale innovative machine learning system infrastructure powering Peloton’s connected fitness data.
  • Work with other ML 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.
Desired Qualifications
  • Experience in setting up ML CI/CD pipelines (Jenkins / GHA), testing and validating code and components, testing and validating data, data schemas, and models.
  • Working with large datasets with distributed data processing frameworks like Spark.
  • Building an internal training platform that supports multiple ML engineers with their offline experimentation.

Peloton provides high-energy indoor cycling workouts through its exercise bike, which streams live and on-demand classes to users' homes. The bike features a large screen for classes led by professional instructors, catering to all fitness levels. Peloton's business model combines hardware sales with a subscription service for access to its extensive library of workouts, creating a steady revenue stream. The company's goal is to offer a convenient and engaging way for people to exercise at home, building a loyal community of fitness enthusiasts.

Company Stage

IPO

Total Funding

$967.6M

Headquarters

New York City, New York

Founded

2011

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Peloton's expansion into apparel with Target increases brand visibility.
  • The introduction of multilingual programs broadens Peloton's global reach.
  • AI-driven personalized coaching enhances user engagement and retention.

What critics are saying

  • Increased competition from fitness apps may draw users away from Peloton.
  • Peloton's new audio app may struggle to differentiate in a crowded market.
  • Private equity buyout could lead to strategic shifts misaligned with customer expectations.

What makes Peloton unique

  • Peloton merges high design with technology for a unique fitness experience.
  • The company offers live and on-demand classes led by elite NYC instructors.
  • Peloton combines hardware, software, and content for an efficient workout experience.

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Benefits

Comprehensive health & life benefits

Supporting families

Future planning

Education

Product discounts

Supporting our communities