Lyft currently has 28 active AI-related job listings. The majority of these roles, 61%, are focused on agents, with application roles making up another 29%. Engineering is the dominant function, with 21 listings, followed by product with 7. The company is hiring for roles that frequently mention agent orchestration, recommender systems, and model serving. In the last 30 days, Lyft posted 4 new AI roles, a decrease of 73% compared to the previous 30-day period.
Lyft currently has 27 active AI-related roles in our index. The most common open titles are: Data Scientist, Algorithms, Optimization - Fulfillment (3), Applied Scientist- Pricing, Dynamic Pricing & Offer Selection (2), Data Science Manager, Machine Learning - Lyft Ads (2), Senior AI Software Engineer, Risk - Insurance Claims Management (2), Senior Data Scientist - Optimization, Central Market Management & AI (2). Most positions are in Engineering and Product.
Lyft's active AI hiring is concentrated in: agents (59%), application (30%), serving infrastructure (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Lyft is hiring AI talent in: United States (19 roles), Canada (8 roles).
Job postings at Lyft most frequently reference: recommender systems, agent orchestration, model serving, evals, search ranking.
In the past 30 days, Lyft has posted 0 new AI-related roles. That is a -100% change versus the prior 30 days (12 → 0).
Currently tracking 13 active AI roles, down 29% 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, 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 |
| Staff Product Manager, Lyft AI Platform & Marketplace Applications Product Manager for Lyft's AI Platform and Marketplace Applications, focusing on Agentic AI products. The role involves defining roadmaps, understanding user needs, evangelizing AI offerings, and identifying opportunities for AI to drive efficiency and effectiveness across the company. Requires strong understanding of agentic systems and conceptual knowledge of ML/AI. | 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 |