Senior ML Engineer - Recommenders & Real-Time Personalization

Peloton Interactive; New York (NY); On-site; USD 141,000 - 191,000; Full time

Benefits offered by this job

Annual equity awards

Employee Stock Purchase Plan

Medical, dental, and vision insurance

Paid time off

Parental leave

Fertility and adoption support

Commuter benefits

Job summary

Peloton Interactive is seeking a machine learning engineer to drive personalization and recommendations for our engaged members across platforms. You will own end‑to‑end ML products from data engineering to scalable microservices and LLM-based solutions for real‑time use.

You will collaborate with ML engineers, software engineers, product managers and analysts to test ideas that boost member engagement and discovery of Peloton content.

Qualifications

• Degree in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
• 3+ years of experience in at least one ML discipline: recommender systems, NLP or computer vision.
• Strong software engineering fundamentals with data structures and algorithms.
• Experience coding in Python, Java, Kotlin, Go, or C/C++ with reproducible documentation.
• Experience with relational and non-relational databases (Postgres, MySQL, Cassandra, DynamoDB).
• Experience building scalable, low-latency microservices for ML model serving and familiarity with MLOps.

Responsibilities

• Build and improve AI and ML pipelines that power Peloton’s recommendations.
• Research and apply best-in-class ML techniques for recommender systems.
• Evaluate, implement, and improve ML models.
• Run A/B tests and analyze results with product analysts.
• Engineer, deploy, and monitor scalable microservices for high-concurrency ML inference endpoints.
• Develop and scale evaluation pipelines to measure model performance and bias.
• Design, implement, and maintain robust microservices hosting high-throughput ML inference endpoints.
• Architect and manage ML infrastructure for advanced LLM-based features and real-time personalization.
• Collaborate with platform teams to accelerate iteration for millions of users.

Skills

ML engineering

Recommender systems

NLP / CV

Data structures & algorithms

Python

Java

Kotlin

Go

C/C++

PostgreSQL

MySQL

Cassandra

DynamoDB

MLOps

Education

MS/PhD in quantitative fields

Tools

Python

Java

Kotlin

Go

C/C++

PostgreSQL

MySQL

Cassandra

DynamoDB

MLOps

LLM-based services

Job description

Peloton Interactive is seeking a machine learning engineer to drive personalization and recommendations for our engaged members across platforms. You will own end‑to‑end ML products from data engineering to scalable microservices and LLM-based solutions for real‑time use.

You will collaborate with ML engineers, software engineers, product managers and analysts to test ideas that boost member engagement and discovery of Peloton content.