Machine Learning Engineer
Core
Design, build, and deploy state-of-the-art machine learning systems for real-time ride fulfillment, matching riders with drivers, and managing distributed state machines.
Role type
Senior Machine Learning Engineer (Fulfillment)
Builds
Real-time ML models, feature pipelines, and serving infrastructure for the Lyft Marketplace.
Domain
Ride-sharing / Transportation / Real-time Systems
Deliverable
production ML models
Required skills
Deep learning, TensorFlow, PyTorch, Python, Golang, statistical concepts, hypothesis testing, regression analysis, model evaluation metrics, translating research to production, feature engineering, system architecture
Preferred skills
None stated
Technologies
TensorFlow, PyTorch, Python, Golang
Responsibilities
Design and implement feature pipelines and model training workflows; Evaluate ML system performance against business KPIs and drive continuous improvement; Partner with product managers and software engineers to align ML initiatives with business goals; Write production-level code and participate in code reviews.
Seniority
Senior, hands-on IC
