Lyft
Machine Learning Engineer, Fulfillment
$141K–$176K
San Francisco, CA +2 · Full-time · Posted Aug 18, 2026
- Location
- San Francisco, CA
New York, New York, United States
San Francisco, California, United States - Experience
- 2+ years in machine learning modeling or related fields.
- Education
- BS/MS in Computer Science or a related field.
About the job
Designs and deploys machine learning systems for Lyft’s Fulfillment group, which determines ride offers and fulfills rider requests.
What you'll do
- Build real-time ML models and translate research into production solutions.
- Develop feature pipelines, model training workflows, and serving infrastructure; evaluate performance and improve models through experiments.
- Collaborate across teams, use data to guide ML strategy, and contribute production code and code reviews.
What they ask for
- 2+ years of experience in machine learning modeling or related fields.
- Experience with deep learning for recommendation systems, using TensorFlow, PyTorch, or similar frameworks.
- Understanding of statistical concepts including hypothesis testing, regression analysis, and ML performance metrics.
- Experience productionizing ML research; proficiency in Python, Golang, or another programming language.
Pay
$140,800 - $176,000 USD base salary
Tools
TensorFlow, PyTorch, Python, Golang
AI focus
Develop and deploy machine learning models for ride fulfillment, including recommendation systems and real-time applications.
Model-written summary · the original posting is authoritative