Machine Learning Engineer

Posted 18 Days Ago
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New York, NY
127K-165K Annually
3-5 Years Experience
Digital Media • Fitness • Hardware • Mobile • Software
Peloton is the leading interactive fitness platform globally, with a passionate community of over 6.9 million Members.
The Role
The Machine Learning Engineer at Peloton will be responsible for driving personalization and recommendations for members through the application of AI and ML techniques. They will work on optimizing member engagement and content discovery by collaborating with various teams. The role involves building ML pipelines, researching ML techniques, implementing models, running A/B tests, and deploying ML models.
Summary Generated by Built In

ABOUT THE ROLE

The Personalization team at Peloton is looking for a machine learning engineer to drive personalization and recommendations for our highly engaged members across multiple platforms. Their main focus will be to optimize the engagement and discovery of Peloton content through research and application of AI and ML techniques for content recommendations. They will work closely with ML Engineers, Software Engineers, Product Managers and Product Analysts to test ideas that drive member engagement. They will have a unique opportunity to work with one of the most granular data related to member engagement in the fitness industry. We’re looking for someone who’s passionate about fitness and is excited about the challenges of AI and machine learning to define the future of connected fitness. 

YOUR DAILY IMPACT AT PELOTON

  • 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.

YOU BRING TO PELOTON

  • 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.

PREFERRED QUALIFICATIONS

  • MS/PhD in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
  • Comfortable working with near real-time ML applications.
  • Proven track record of working with product managers to launch ML-based product features.

#LI-RF2

#LI-Hybrid

The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.
As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:

- 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!

 

Base Salary Range

$127,300$165,400 USD


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 immersive classes, cutting-edge technology and hardware, and the Peloton App with multiple tiers to personalize the Peloton experience [with or without equipment]. 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.

At Peloton, we motivate the world to live better. “Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, and so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.

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. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: [email protected]

Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. 

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email [email protected] before taking any further action in relation to the correspondence.

Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Top Skills

Go
Java
Kotlin
Python

What the Team is Saying

Zoe
Francis
Dalton
The Company
New York , NY
4,600 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

Peloton is the leading interactive fitness platform globally, with a passionate community of more than 6.9 million Members in the US, UK, Canada, Germany, and Australia. Peloton makes fitness entertaining, approachable, effective, and convenient, while fostering social connections that motivate its Members to commit to their fitness journeys. Consumers can access the Peloton library with thousands of live and on-demand classes at the gym, at home, on the road, or wherever they choose to move, through the Peloton Bike, Peloton Tread, Peloton Bike+, Peloton Guide, and Peloton App on any iOS or Android device and select smart TVs. Through Peloton Corporate Wellness or Peloton Commercial, organizations and enterprises also have access to the Peloton platform and select Peloton products for their teams and customers. An innovator at the nexus of fitness, technology, and media, Peloton reinvented the fitness industry by developing a first-of-its-kind subscription platform that seamlessly combines the best equipment, proprietary networked software, world-class streaming digital fitness and wellness content, and best-in-class fitness experts and Instructors.

Peloton was founded in 2012 and is headquartered in New York City, with showrooms across the US, UK, Canada, Germany, and Australia. For more information, visit www.onepeloton.com.

Why Work With Us

Peloton believes in taking risks and challenging the status quo by continuously innovating and improving. We put our users, members, and customers first and we obsess over every touch point of the member experience – be it the studio, product or showroom. We like to hire the best and encourage all our associates to be Peloton’s brand ambassadors.

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Peloton Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our Hybrid Working Policy requires team members in US office-based roles to be in the office every Tuesday, Wednesday and Thursday.

Typical time on-site: 3 days a week
New York, NY

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