Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-07-10
Why this is a real AI job: The role explicitly focuses on applying data science and causal inference to drive business decisions within a core product area (Partnership, Loyalty & Pay). Responsibilities heavily emphasize building models, designing experiments, and measuring impact – al…
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. As a member of the Science team, you will work in a dynamic e…
Details Open source / apply
Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-07-10
Why this is a real AI job: The role explicitly focuses on applying data science and causal inference techniques to drive business decisions within the Partnership, Loyalty & Pay teams. Responsibilities heavily emphasize modeling, experimentation, and measurement – core AI/ML activities.
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. As a member of the Science team, you will work in a dynamic e…
Details Open source / apply
Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-10
Why this is a real AI job: The role explicitly focuses on building and deploying ML/optimization models to directly impact Lyft's marketplace. Responsibilities center around model lifecycle management, mathematical problem solving, and integration with live systems. The job description…
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
Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-10
Why this is a real AI job: The role explicitly focuses on building and deploying ML/optimization models to directly impact Lyft's marketplace. Responsibilities center around model lifecycle management, mathematical problem solving, and integration with live systems. The job description…
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
United StatesUSAgreenhouse2026-07-10
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models for core business functions (pricing, ranking, growth). The description heavily emphasizes data science, experimentation, and AI-driven product understanding. The required expertise…
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…
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Lyft · San Francisco Office
90/100
San Francisco OfficeUSAgreenhouse2026-07-10
Why this is a real AI job: The role explicitly focuses on applying data science and analytical techniques to shape product vision, build algorithms, and drive business decisions. Responsibilities heavily emphasize modeling, experimentation, and causal inference.
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. As a member of the Science team, you will work in a dynamic e…
Details Open source / apply
Lyft · San Francisco Office
90/100
San Francisco OfficeUSAgreenhouse2026-07-10
Why this is a real AI job: The role explicitly focuses on applying data science and analytical techniques to shape product vision, build algorithms, and drive business decisions. Responsibilities heavily emphasize modeling, experimentation, and causal inference.
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. As a member of the Science team, you will work in a dynamic e…
Details Open source / apply
New York OfficeUSAgreenhouse2026-07-10
Why this is a real AI job: The role explicitly focuses on developing mathematical models for pricing systems, utilizing machine learning and optimization techniques. The job description highlights the application of AI to solve core business 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. Lyft Ads is one of Lyft’s newest and fastest-growing businesses, focused on building the world’s largest transportation media netw…
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San FranciscoUSAFullTimeashby2026-07-10
Why this is a real AI job: The role explicitly focuses on building datasets, metrics, and models to optimize infrastructure supporting AI products and research. The candidate will be a core partner to AI-focused teams.
About the Team Our infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-wor…
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