USUSAgreenhouse2026-10-29
Why this is a real AI job: The role is explicitly focused on building and operating production ML systems for recommendations, ranking, and personalized action selection. The responsibilities and requirements heavily emphasize ML engineering tasks and expertise.
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase th…
Details Open source / apply
USUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models, statistical analysis, and data products to drive business decisions across multiple teams. The description highlights a strong emphasis on AI/ML techniques as a core function.
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase th…
Details Open source / apply
Canada LocationsUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models, statistical analysis, and data-driven decision making across various business functions. The description highlights the use of AI techniques as a core component of the job.
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase th…
Details Open source / apply
Affirm · Remote Canada, Remote US
95/100
Remote Canada, Remote USUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on building and improving machine learning systems for core business functions (underwriting). The job description details tasks directly related to model development, data processing, deployment, monitoring, and experimentation. S…
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay la…
Details Open source / apply
Seattle OfficeUSAgreenhouse2026-10-29
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 OfficeUSAgreenhouse2026-10-29
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 OfficeUSAgreenhouse2026-10-29
Why this is a real AI 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…
Details Open source / apply
Lyft · San Francisco Office
95/100
San Francisco OfficeUSAgreenhouse2026-10-29
Why this is a real AI 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…
Details Open source / apply
Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-10-29
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. The responsibilities are overwhelmingly centered around building and scaling AI-powered solutions for Lyft Busines…
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
Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-10-29
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. The responsibilities are overwhelmingly centered around building and scaling AI-powered solutions for Lyft Busines…
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