Machine Learning Engineer III

Peloton
New York
Workplace: HybridFull timeUSD 141,400 - 190,700 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["Communication","Presentation","Data-driven decision making"]

Own end-to-end ML product development for Peloton’s personalization and recommendations. Build and improve recommender pipelines, evaluate and iterate on ML models, and run A/B tests to drive member engagement. Engineer and monitor low-latency, high-concurrency microservices for real-time inference, and develop evaluation pipelines that measure performance and bias in production. Collaborate with ML, software, and product teams to deliver personalized experiences at scale.

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FursaFursa
Peloton
Peloton
1 week ago

Machine Learning Engineer III

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Own end-to-end ML product development for Peloton’s personalization and recommendations. Build and improve recommender pipelines, evaluate and iterate on ML models, and run A/B tests to drive member engagement. Engineer and monitor low-latency, high-concurrency microservices for real-time inference, and develop evaluation pipelines that measure performance and bias in production. Collaborate with ML, software, and product teams to deliver personalized experiences at scale.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and improve AI/ML pipelines that power Peloton recommendations.
  • •Research, evaluate, and implement machine learning techniques for recommender systems.
  • •Run A/B tests and analyze results in collaboration with product analysts.
  • •Engineer, deploy, and monitor scalable microservices for high-concurrency real-time ML inference endpoints.
  • •Architect ML infrastructure for LLM-based real-time personalization features and develop evaluation pipelines for performance and bias monitoring.

Pay and Benefits

Salary: USD 141,400 - 190,700 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid LeaveLong-term Disability401kPaid ParentalPet Insurance

Key Requirements

  • •Degree in highly quantitative fields such as Computer Science, Machine Learning, Operational Research, Statistics, or Mathematics.
  • •3+ years of experience in ML disciplines such as recommender systems, natural language processing, or computer vision.
  • •Strong software engineering foundations including data structures and algorithms.
  • •Experience writing code in Python, Java, Kotlin, Go, or C/C++ with documentation for reproducibility.
  • •Experience building and deploying scalable, low-latency microservices for ML model serving and hands-on MLOps practices (evaluation pipelines and monitoring).
Experience:3+ years
Education:Master's in Computer Science, Machine Learning, Operational Research, Statistics, Mathematics
Skills:CommunicationPresentationData-driven decision making
Tech Stack:PythonJavaKotlinGoC/C++PostgresMySQLCassandraDynamoDBMicroservicesLLMMLOpsA/B testingData structuresAlgorithms

Company Brief

Peloton
Designs and sells connected fitness equipment, subscription-based live and on-demand classes, and fitness content for at-home and studio users, integrating hardware, software, and community-driven experiences.
Industry: Fitness
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2012
WebsiteLinkedIn