Full-Time

Machine Learning Infrastructure Engineer

Confirmed live in the last 24 hours

Peloton

Peloton

1,001-5,000 employees

High-energy indoor cycling workouts at home

Consumer Software
Education
Consumer Goods

Compensation Overview

$176.7k - $229.8kAnnually

+ Annual Equity Awards + Employee Stock Purchase Plan

Mid, Senior

Company Historically Provides H1B Sponsorship

New York, NY, USA

This is a hybrid position, which may require some in-office days.

Category
Applied Machine Learning
Computer Vision
AI & Machine Learning
DevOps & Infrastructure
Required Skills
Kubernetes
Python
Airflow
MySQL
Jupyter
NoSQL
Machine Learning
Docker
AWS
Terraform
Computer Vision

You match the following Peloton's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 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.
  • 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.
Responsibilities
  • 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.
Desired Qualifications
  • Experience with C, C++, Java, Swift, or more general purpose programming languages is a plus.

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, generating revenue from both bike purchases and monthly fees for access to its content library. The company's goal is to offer a convenient and engaging way for people to work out 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

  • AI-driven personalized coaching enhances user experience and engagement.
  • Hybrid fitness models offer flexibility and variety, attracting more users.
  • Wearable tech advancements improve health tracking, enhancing Peloton's offerings.

What critics are saying

  • Increased competition from similar fitness apps may erode market share.
  • Apparel expansion could dilute Peloton's premium fitness brand.
  • Potential private equity buyout may alter company strategy and customer loyalty.

What makes Peloton unique

  • Peloton merges high design with technology for a unique fitness experience.
  • Offers live and on-demand classes led by elite NYC instructors.
  • 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