ABOUT THE ROLE
The Personalization team at Peloton is looking for a machine learning engineer to drive our
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 use their tools and infrastructure to rapidly iterate on ideas that drive delightful personalized experiences for millions of
users.
YOU BRING TO PELOTON
- M.S. in highly quantitative fields including Computer Science, Machine Learning,
Operational Research, Statistics, Mathematics, etc. - 2+ years of industrial experience in at least one of ML fields: 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. - PhD in highly quantitative fields including Computer Science, Machine Learning,
Operational Research, Statistics, Mathematics, etc. - Comfortable working with near real-time ML applications.
#LI-JS2
#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
$144,681—$195,319 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 innovative hardware, distinctive software, and exclusive content. 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.
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].
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.
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.
What the Team is Saying
What We Do
Peloton is the largest interactive fitness platform in the world with a loyal community of more than 6.9 million Members.
Founded in 2012 and headquartered in New York City, our mission is to Bring integrated fitness and wellness experiences to Members anytime, anywhere.
People often ask is what a Peloton actually is. It’s a cycling term for a pack that works together to fight the wind—and that's exactly what we do every day. We are a vertically integrated company comprised of team players working together across hardware, software, content, retail, apparel, music, logistics, and more. If you ask what unites and drives us, it’s our unwavering ambition to make a positive impact – for our members, for our communities, for our business, and for each other.
Why Work With Us
Remember that feeling? When someone saw more in you than you saw in yourself? That's what we do at Peloton. This isn't just another job – this is your chance to shape an iconic brand that genuinely transforms lives. Here, your success isn't measured by what you can accomplish alone, but by how many others you help achieve their best.
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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.
