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 Scientist, Algorithms - Lyft Ads Lyft Ads is seeking an Algorithms Scientist to build the next generation of ads relevance, targeting, optimization, and measurement algorithms. This role involves working with large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. The scientist will collaborate with Engineering, Product, Data Science, and Sales to translate business needs into algorithmic solutions that improve ad performance and drive revenue growth. The role requires hands-on modeling experience, ability to write production code, and a focus on personalization, measurement, and real-time optimization. | ShipAgent | 8 |
| Data Scientist, Algorithms - Lyft Ads Lyft Ads is seeking an Algorithms Scientist to build the next generation of ads relevance, targeting, optimization, and measurement algorithms. This role involves working with large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. The scientist will collaborate with Engineering, Product, Data Science, and Sales to translate business needs into algorithmic solutions that improve ad performance and drive revenue growth. The role requires hands-on modeling experience, ability to write production code, and a focus on personalization, measurement, and real-time optimization. |
| ShipAgent |
| 8 |
| 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 |
| 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 |
| VP, Safety & Customer Care Lyft is seeking a VP of Safety & Customer Care to lead a strategic transformation leveraging AI to reimagine customer care and safety experiences. This role requires a customer-obsessed executive leader with a blend of operational excellence, Trust & Safety depth, and technology transformation leadership. The VP will be responsible for executing a vision that scales self-serve and agent AI while balancing human touch, modernizing platforms, and owning the SCC P&L. They will also serve as Lyft's voice on safety and customer trust with external stakeholders. | ShipAgent | 7 |
| Machine Learning Engineer, Recommendations Machine Learning Engineer at Lyft focused on developing and launching recommendation algorithms for consumer products. The role involves data analysis, building ML models, writing production code, and evaluating ML systems against business goals. Experience with Python/Golang, supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits is required. | ShipServe | 7 |
| AI Business Solution Architect This role bridges the gap between Finance business needs and technical delivery by architecting AI-enabled solutions for the Finance function. The architect will translate complex business requirements into scalable systems, drive AI transformation, and ensure responsible adoption of AI technologies within Finance workflows, focusing on operational excellence and strategic impact. | Ship | 5 |
| Data Scientist, Algorithms - Driver Incentives Data Scientist role focused on building and deploying ML models for driver incentives within Lyft's consumer platform. Responsibilities include problem framing, data analysis, model construction, production code writing, and experimental design/analysis. | Ship | 5 |
| Data Scientist - Machine Learning, Pricing & Rider Engagement Data Scientist on the Rider Engagement team at Lyft, focusing on developing mathematical models for pricing and rider engagement systems. This role involves optimization, prediction, and machine learning to drive business growth and enhance rider experience, with a strong emphasis on production implementation and experimentation. | Ship | 5 |
| 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 |