ML Engineer III: Real-Time Personalization & Recommendations

Socket.dev; New York (NY); Hybrid; USD 141,000 - 191,000; Full time

Benefits offered by this job

Health insurance

401k plan

Paid time off

Job summary

Peloton is seeking a machine learning engineer to advance personalization and recommendations across platforms. Own end-to-end ML products from data engineering to scalable microservices and LLM-based features in real time.

You will collaborate with ML engineers, software engineers, product managers and analysts to test ideas, optimize engagement, and deliver delightful personalized experiences for millions of users.

Qualifications

• Strong foundation in ML and data structures
• Experience building scalable ML services and microservices
• Experience with evaluation, bias, and A/B testing

Responsibilities

• Build and improve AI and ML pipelines powering Peloton recommendations
• Research and apply ML methods for recommender systems
• Evaluate, deploy, and monitor ML models in production
• Run A/B tests and analyze results with product analysts
• Develop scalable microservices for high-concurrency inference
• Scale evaluation pipelines for model performance and bias

Skills

Recommender systems

NLP / ML concepts

ML pipelines

Python / Java / Go

Education

MS/PhD in quantitative fields

Degree in CS / ML / Statistics

Tools

Postgres / MySQL

Big data tech (optional)

Job description

Peloton is seeking a machine learning engineer to advance personalization and recommendations across platforms. Own end-to-end ML products from data engineering to scalable microservices and LLM-based features in real time.

You will collaborate with ML engineers, software engineers, product managers and analysts to test ideas, optimize engagement, and deliver delightful personalized experiences for millions of users.