Remote CanadaUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on developing and scaling machine learning models for core business functions (credit decisioning, default prediction). The job description details specific ML techniques and tools used in production.
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. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready mo…
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Plaid · New York City Office
95/100
New York City OfficeUSAFullTimeashby2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning-powered products, identifying ML opportunities, and working with ML models in a production environment. The description heavily emphasizes ML tasks and responsibilities.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…
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Robinhood · Menlo Park, CA, New York, NY, Washington, DC
95/100
Menlo Park, CA, New York, NY, Washington, DCUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and deploying credit risk models, leveraging data science techniques. The job description details model development lifecycle (data prep to deployment) which is a core AI activity.
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic c…
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Remote - United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on designing, developing, and deploying machine learning solutions for core logistics problems (order batching, routing, prediction). The required skills and experience heavily emphasize ML and OR techniques.
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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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on applying data science and machine learning to core advertising problems like measurement, identity resolution, and predictive modeling. The responsibilities are heavily weighted towards building and improving AI-powered systems.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…
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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on applying data science and machine learning to core advertising problems like measurement, identity, and signal quality. Responsibilities directly involve building and improving ML models, experimentation frameworks, and statisti…
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…
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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role is explicitly focused on building and evaluating ranking/recommendation systems, defining relevance metrics, and conducting experiments to improve content quality and user experience. The job description heavily emphasizes data science and ML techniq…
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…
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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on applying advanced quantitative methods (ML, statistics, econometrics) to optimize the advertising platform. The job description details building and leading data science solutions for ads, focusing on prediction, optimization, a…
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…
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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models, detection pipelines, and leveraging GenAI for fraud detection. The responsibilities heavily emphasize data analysis, model development, and scalable enforcement systems.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…
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United StatesUSAgreenhouse2026-10-30
Warum echter KI-Job: The role explicitly focuses on building and deploying data-driven models, conducting causal analysis, and leveraging machine learning techniques to improve Airbnb's marketplace and products. The job description highlights the direct impact of data science on…
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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