Canada, USUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on leading the development of generative AI products, measuring AI performance, and collaborating with an AI research team. The job description heavily emphasizes AI-related tasks and experience.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empower…
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[ProspectLand]USAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on the development, implementation, and evaluation of machine learning models for core products. The job description details specific ML techniques (Collaborative Filtering, LTR, Reinforcement Learning) and technologies used in pro…
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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DublinGermanygreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on researching, prototyping and shipping machine learning features for MongoDB's core server, query engine and Atlas. The job description details a strong emphasis on ML model development, productionization, and impact measurement.
As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature roll…
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Solaris SEGermanygreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on the development, operationalization, and maintenance of machine learning models for critical financial applications (fraud, compliance, AML). The job description details specific ML tasks like data preparation, feature engineeri…
Solaris is Europe’s leading embedded finance platform, pioneering Banking-as-a-Service to bridge the gap between financial technology and licensed banking. Founded in 2016 and headquartered in Berlin, Solaris enables fintechs, digital ecosystems, and multinationals to embed accounts, cards, lending…
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Seattle OfficeUSAgreenhouse2026-09-10
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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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-09-10
Warum echter KI-Job: The role is fundamentally focused on designing, analyzing, and improving experimentation methodologies, with a strong emphasis on causal inference and statistical rigor. The responsibilities and qualifications directly relate to core AI/ML concepts and techni…
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 StatesUSAgreenhouse2026-09-10
Warum echter KI-Job: The role is fundamentally focused on designing, analyzing, and improving experimentation methodologies, with a strong emphasis on causal inference and statistical rigor. The responsibilities and qualifications directly relate to core AI/ML concepts and techni…
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 StatesUSAgreenhouse2026-09-10
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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Toronto, ON, CanadaGermanygreenhouse2026-09-10
Warum echter KI-Job: The job description explicitly focuses on building, deploying, and maintaining machine learning models, AI solutions, MLOps pipelines, and Generative AI applications. The role requires hands-on experience with relevant technologies and frameworks, indicating…
The Senior Data Scientist is responsible for building, testing, and deploying statistical and machine learning models, and conducting data deep dives which drive a better understanding of our customers, products, and operations. Reporting to the Senior Manager, Data Science and Engineering, this ro…
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United StatesUSAgreenhouse2026-09-10
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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