Instacart · Remote - Canada, Remote - United States
95/100
Remote - Canada, Remote - United StatesUSAgreenhouse2026-10-31
Warum echter KI-Job: The job description explicitly focuses on designing, building, and deploying production machine learning systems. The core responsibilities revolve around the entire ML lifecycle, from data preparation to model deployment and monitoring. The required and pref…
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless o…
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Instacart · Remote - Canada, Remote - United States
95/100
Remote - Canada, Remote - United StatesUSAgreenhouse2026-10-31
Warum echter KI-Job: The job description explicitly focuses on designing, building, and deploying production machine learning systems. The core responsibilities revolve around the entire ML lifecycle, from data preparation to model deployment and monitoring. The required and pref…
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless o…
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Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-10-31
Warum echter KI-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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Toronto CoworkingUSAgreenhouse2026-10-31
Warum echter KI-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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Seattle OfficeUSAgreenhouse2026-10-31
Warum echter KI-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…
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Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-10-31
Warum echter KI-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…
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Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-10-31
Warum echter KI-Job: The role explicitly requires building and deploying machine learning and optimization models for a core business function (pricing and rider engagement). The responsibilities heavily focus on data science tasks, and the required experience includes a quantita…
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 a dynamic environment, and…
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Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-10-31
Warum echter KI-Job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications within a core business function (Fulfillment). The job description emphasizes ML system performance, experimentation, and translating research…
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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Toronto OfficeUSAgreenhouse2026-10-31
Warum echter KI-Job: The role explicitly focuses on building and fine-tuning LLMs, developing AI agents, and creating evaluation frameworks for safety-critical applications. The job description details specific AI/ML techniques and tools used in the core responsibilities.
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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Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-10-31
Warum echter KI-Job: The role is explicitly focused on ML research and development, with a strong emphasis on building and deploying ML models. The responsibilities and required experience are heavily centered around AI/ML techniques.
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 over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative…
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