Lyft
Consumer · Rideshare
- HQ
- San Francisco, US
- Founded
- 2013
- Website
- lyft.com
Currently tracking 17 active AI roles, up 103% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $128k–$222k (avg $171k).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer, Lyft Business Machine Learning Engineer for Lyft Business, focusing on designing, building, and deploying ML systems across various domains including pricing, fraud detection, and agentic AI. The role involves end-to-end ownership of models, from prototyping to production, and collaboration with cross-functional teams to drive business impact. | AgentServe | 7 |
| Senior Software Engineer, AI-Powered Developer Productivity Senior Software Engineer to build AI-powered tooling for test case generation, review, and execution, aiming to automate quality assurance and improve developer productivity within Lyft's mobile platforms. | Agent | 7 |
| Senior Software Engineer, Self-Serve Intelligence Senior Software Engineer to build and ship backend services and AI-powered products, specifically AI Agents, for customer support automation. The role involves full lifecycle ownership from design to production, focusing on scalable systems and GenAI integration. |
| Agent |
| 7 |
| Applied Scientist- Pricing, Dynamic Pricing & Offer Selection Lyft is seeking an Applied Scientist to develop and launch ML and optimization models for dynamic pricing and offer selection, productionalizing pipelines that scale to millions of calls per day. The role involves leveraging expertise in ML and Operations Research to solve real-world marketplace problems, balancing complexity and efficiency to create reliable solutions. | Agent | 7 |
| Applied Scientist- Pricing, Dynamic Pricing & Offer Selection Lyft is seeking an Applied Scientist to develop and launch ML and optimization models for dynamic pricing and offer selection, productionalizing pipelines that scale to millions of calls per day. The role involves leveraging expertise in ML and Operations Research to solve real-world marketplace problems, balancing complexity and efficiency to create reliable solutions. | Agent | 7 |