Senior Machine Learning Engineer, Recommendations
Core
Developing and launching algorithms that power Lyft's core services and impactful products across transportation, economics, forecasting, mapping, safety, personalization, and adaptive control.
Role type
Senior Machine Learning Engineer (Recommendations & Core Platform)
Builds
Production ML systems for ride matching, personalization, and platform optimization
Domain
Transportation / Marketplace / Data Science
Deliverable
production ML models
Required skills
Machine Learning workflows, Python, Golang, supervised learning, forecasting, recommendation systems, reinforcement learning, multi-armed bandits, statistical modeling, optimization models, production code deployment, data analysis
Preferred skills
Experience in one or multiple fields (transportation, economics, forecasting, mapping, safety, personalization, adaptive control), critical thinking, passion for solving business problems with data
Technologies
Python, Golang
Responsibilities
Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact; Perform data analysis and build proof-of-concept to explore and propose ML solutions; Develop statistical, machine learning, or optimization models; Write production quality code to launch machine learning models at scale; Evaluate machine learning systems against business goals
Seniority
Senior, hands-on IC
