Currently tracking 13 active AI roles, down 29% 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 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).
| Title | Stage | AI score |
|---|---|---|
| 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 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 |
| Data Scientist, Algorithms, Optimization - Fulfillment Data Scientist specializing in Algorithms for Lyft's Fulfillment team, focusing on developing and improving real-time supply and demand matching algorithms, optimization, prediction, and machine learning models for the platform's core services. This role involves writing production modeling code, designing and implementing experiments, and analyzing data to drive product decisions and improve user experiences. | Ship | 5 |