Peloton Technology
Machine Learning Engineer III
New York, New York · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$24,189 more — $165,589 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,589 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- You 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.
- Research and apply best-in-class machine learning techniques for recommender systems
Responsibilities
- You will own the end-to-end lifecycle of our ML products, from data engineering and foundational infrastructure to building scalable microservices and LLM-based solutions that serve our users in real-time.
- You will work closely with ML Engineers, Software Engineers, Product Managers and Product Analysts to test ideas that drive member engagement.
- Build and improve AI and ML pipelines that power Peloton's recommendations
- Develop and scale evaluation pipelines to measure model performance and bias in production environments
- Design, implement, and maintain robust microservices to host high-throughput ML inference endpoints
- Architect and manage the ML infrastructure necessary to support sophisticated LLM-based features and real-time personalization
Requirements
- 3+ years of experience working in at least one of following
- Experience with relational and non-relational databases such as Postgres, MySQL, Cassandra, or DynamoDB
- Hands-on experience with modern MLOps, including automated evaluation pipelines and model monitoring
Nice to have
- Comfortable working with near real-time ML applications, preferred
- Proven track record of working with product managers to launch ML-based product features, preferred
Compensation
- $141,400 - $190,700 USD
- 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, without limitation, experience and business objectives and if the location for the job changes.
Benefits
- 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.
- Evaluate, implement, and improve machine learning models
- 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.
Company info
- 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
This listing is sourced directly from Peloton Technology's careers page and normalized into a canonical job model.