Lyft – AI jobs

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…

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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…

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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…

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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…

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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…

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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…

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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…

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Why this is a real AI job: The role explicitly focuses on building and deploying ML models, optimization algorithms, and foundational models that directly impact Lyft's core business. Responsibilities center around the entire model lifecycle, from problem framing to production deployme…

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

Why this is a real AI job: The role explicitly focuses on developing and implementing machine learning models and algorithms for core Lyft products. Responsibilities heavily emphasize data science tasks like model building, experimentation, and analysis. The required qualifications als…

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 central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in…

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Why this is a real AI job: The role explicitly focuses on developing and implementing machine learning models and algorithms for a core product feature (ride matching and fulfillment). The responsibilities heavily emphasize data science tasks like model building, experimentation, and a…

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 central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in…

Details Open source / apply