Lyft
Consumer · Rideshare
- HQ
- San Francisco, US
- Founded
- 2013
- Website
- lyft.com
Currently tracking 13 active AI roles, up 40% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $128k–$222k (avg $171k).
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 22 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 (55%), application (32%), serving infrastructure (14%). 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 (16 roles), Canada (6 roles).
Job postings at Lyft most frequently reference: recommender systems, agent orchestration, model serving, search ranking, tool use.
In the past 30 days, Lyft has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Data Science Manager, Machine Learning - Lyft Ads Manager for a team of Data Scientists, Applied Scientists, and ML Engineers building the algorithmic backbone of Lyft Ads, focusing on ad relevance, yield optimization, targeting, and measurement. The role involves defining technical vision, leading execution, and integrating ML systems into production ad serving and measurement platforms, with a strong emphasis on experimentation and causal inference. | ShipAgent | 7 |
| Data Science Manager, Machine Learning - Lyft Ads Manager for a team of Data Scientists, Applied Scientists, and ML Engineers building the algorithmic backbone of Lyft Ads, focusing on ad relevance, yield optimization, targeting, and measurement. The role involves defining technical vision, leading execution, and integrating ML systems into production ad serving and measurement platforms, with a strong emphasis on experimentation and causal inference. | ShipAgent | 7 |
| Senior Data Scientist - Optimization, Central Market Management & AI Senior Data Scientist role focused on building and deploying production-grade ML and optimization models for Lyft's marketplace. The role involves designing, formulating, and solving complex mathematical optimization problems, owning the full model lifecycle, and integrating algorithms into live systems. It emphasizes first-principles mathematical reasoning and driving technical strategy for foundational marketplace models. | Serve | 7 |
| Senior Data Scientist - Optimization, Central Market Management & AI Senior Data Scientist role focused on building and deploying production-grade ML and optimization models for Lyft's marketplace. The role involves designing, formulating, and solving complex mathematical optimization problems, owning the full model lifecycle, and integrating algorithms into live systems. It emphasizes first-principles mathematical reasoning and driving technical strategy for foundational marketplace models. | Serve | 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 |
| Data Science Manager, Rider App Lyft is seeking a Data Science Manager to lead a team focused on improving the Rider App experience through algorithm development, machine learning, and experimentation. The role involves shaping vision, driving execution, and partnering with cross-functional teams to enhance rider relationships and expand to new segments. The ideal candidate will have expertise in advanced analytics, ML, causal inference, experimentation, and a proven track record of leading data science teams in fast-paced environments. | Ship | 7 |
| Senior Machine Learning Engineer, Recommendations Senior Machine Learning Engineer at Lyft focused on Recommendations. This role involves developing and launching ML algorithms for core business services and products, with a focus on personalization and user impact. Requires strong Python/Golang skills and experience with ML methodologies like supervised learning, forecasting, recommendation systems, RL, and multi-armed bandits. | Ship | 7 |
| Senior ML Software Engineer, Mapping Senior ML Software Engineer for Lyft's Mapping team, focusing on building and improving ML capabilities to reflect environmental changes in the Lyft map using fleet data. The role involves end-to-end development, from data analysis and model building to production deployment and evaluation, utilizing a tech stack from basic ML to LLMs and handling millions of images. | Ship | 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 |