Senior ML Engineer, Personalization & Recommendations

Peloton; East Massapequa (NY); Hybrid; USD 141,000 - 191,000; Full time

Benefits offered by this job

Medical insurance

Dental and vision insurance

Generous paid time off

Disability coverage

Employee Stock Purchase Plan

401k matching

Tuition reimbursement

Parental leave

Peloton Digital access

Product discounts

Job summary

Peloton is seeking a machine learning engineer to drive personalization and recommendations across platforms. You will own end-to-end ML products from data engineering to scalable microservices and LLM-based features serving real-time users.

You will collaborate with ML engineers, software engineers, product managers, and analysts to test ideas that boost member engagement, leveraging Peloton’s granular engagement data.

Qualifications

• Degree in highly quantitative fields such as CS, ML, OR, stats, or math.
• 3+ years in recommender systems, NLP, or computer vision.
• Strong software engineering fundamentals and data structures.
• Proficient in Python, Java, Kotlin, Go, or C/C++ with reproducible code.
• Experience with relational and non-relational databases.
• Ability to communicate technical concepts to diverse audiences.
• Experience deploying scalable microservices for ML model serving.
• Hands-on experience with modern MLOps and model monitoring.
• MS/PhD preferred; near real-time ML applications a plus.

Responsibilities

• Build and improve AI/ML pipelines powering Peloton recommendations.
• Research and apply advanced 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 ML inference.
• Scale evaluation pipelines to measure model performance and bias.
• Design and maintain robust microservices hosting high-throughput ML endpoints.
• Architect ML infrastructure for real-time personalization with LLM features.
• Collaborate with platform teams to iterate on personalized experiences.

Skills

Python

Java

Kotlin

Go

C/C++

Machine learning

Recommender systems

Natural language processing

Computer vision

Software engineering fundamentals

MLOps

Model serving

Education

Bachelor's or higher in quantitative field

MS/PhD preferred

Tools

PostgreSQL

MySQL

Cassandra

DynamoDB

Job description

Peloton is seeking a machine learning engineer to drive personalization and recommendations across platforms. You will own end-to-end ML products from data engineering to scalable microservices and LLM-based features serving real-time users.

You will collaborate with ML engineers, software engineers, product managers, and analysts to test ideas that boost member engagement, leveraging Peloton’s granular engagement data.