Active jobs: 37
Lyft im AI Job Radar
This company page groups current AI roles at Lyft, visible skill signals, locations and direct links to the original postings.
37Active jobs
92.6Avg. AI score
greenhouseSources
Top skills
Machine Learning, Python, Data Science, Statistical Modeling, Causal Inference, SQL, MLOps, Data Analysis
Locations
Toronto Coworking, San Francisco Office, New York Office, San Francisco Office, New York Office, New York Office, San Francisco Office, Seattle Office, New York Office, Seattle Office, Seattle Office
AI domains
Marketing/Growth, Ride Sharing / Logistics, Transportation, Advertising Technology
Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on developing and launching machine learning models for core business functions like recommendations. The job description heavily emphasizes ML workflows, model building, and data analysis. The required experience clearly points to…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
Details Open source / apply
Toronto CoworkingUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying ML models across multiple business-critical areas. The description highlights a strong emphasis on applied ML, model ownership, and collaboration with data scientists to solve complex problems…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic env…
Details Open source / apply
Toronto CoworkingUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on building and deploying AI agents using LLMs for safety and customer care applications. The job description details tasks like fine-tuning models, building agent frameworks, and creating evaluation pipelines – all core AI activit…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's pr…
Details Open source / apply
Seattle OfficeUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on constructing and fitting machine learning models, performing data analysis, and implementing algorithms in production. The responsibilities are heavily centered around core data science and ML tasks.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and withi…
Details Open source / apply
Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights the use of ML to solve core business problems and improve the ride-sharing platform. The required experience stron…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
Details Open source / apply
Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights the use of ML to solve core business problems and improve the ride-sharing platform. The required experience stron…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
Details Open source / apply
Seattle OfficeUSAgreenhouse2026-09-09
Why this is a real AI job: The role explicitly focuses on leading technical initiatives in machine learning, algorithm development, and production deployment of ML models. Responsibilities are overwhelmingly centered around building and scaling AI-powered solutions.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, movi…
Details Open source / apply
Seattle OfficeUSAgreenhouse2026-09-09
Why this is a real AI job: The role explicitly focuses on leading ML initiatives, building production models, and driving algorithmic innovation. Responsibilities are overwhelmingly centered around data science tasks.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, movi…
Details Open source / apply
Toronto CoworkingUSAgreenhouse2026-08-21
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights experience with LLMs and translating research into production systems. Responsibilities are heavily weighted towar…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
Details Open source / apply
Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-07-31
Why this is a real AI job: The role explicitly focuses on building and deploying ML/optimization models to directly impact Lyft's core business (pricing, incentives, resource allocation). The responsibilities are heavily centered around the full model lifecycle and mathematical problem…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is es…
Details Open source / apply