San FranciscoUSAFullTimeashby2026-07-08
Why this is a real AI job: The role is explicitly focused on AI fairness, bias testing, and evaluation of AI-assisted systems. The job description details extensive work with ML models, data analysis, and building evaluation infrastructure. This is a core AI research and application ro…
ABOUT THE TEAM OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid,…
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San FranciscoUSAFullTimeashby2026-07-08
Why this is a real AI job: The role is explicitly focused on the safety of AI models, developing metrics to evaluate them, and providing data-driven insights for improvement. The job description heavily emphasizes AI/ML concepts and their application to real-world safety concerns.
About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and dev…
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[ProspectLand]USAgreenhouse2026-07-07
Why this is a real AI job: The role explicitly focuses on building, fine-tuning, and deploying machine learning systems and large language models for core product use cases. The required skills are heavily weighted towards advanced AI/ML techniques.
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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New York, NYSwedenPermanentlever2026-07-07
Why this is a real AI job: The role explicitly focuses on building and improving machine learning models for personalization, including embedding models and generative AI. The description highlights core ML tasks like candidate generation and ranking model development.
The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of mill…
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Datadog · Dublin, Lisbon, Madrid, Paris, Tel Aviv
95/100
Dublin, Lisbon, Madrid, Paris, Tel AvivGlobalgreenhouse2026-07-07
Why this is a real AI job: The role explicitly focuses on leading the design and delivery of AI-powered product experiences, working with LLMs, context engineering, evaluation frameworks, and building AI application reliability. The job description heavily emphasizes AI/ML as a core co…
This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences th…
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Remote - United StatesUSAgreenhouse2026-07-07
Why this is a real AI job: The role explicitly focuses on designing, implementing, and deploying machine learning and optimization algorithms for core business functions (fulfillment, routing, assignment). The job description heavily emphasizes ML/optimization techniques and their impa…
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 · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-07
Why this is a real AI job: The role explicitly focuses on leading a team building the algorithmic backbone of an advertising platform, designing and deploying ML systems for core advertising capabilities (targeting, optimization, measurement), and establishing experimentation framework…
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. ML & Data Science is at the heart of Lyft's products and decision-making. ML and Data Science professionals at Lyft operate in dyn…
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Lyft · New York Office, San Francisco Office
95/100
New York Office, San Francisco OfficeUSAgreenhouse2026-07-07
Why this is a real AI job: The role explicitly focuses on leading a team building the algorithmic backbone of an advertising platform, designing and deploying ML systems for core advertising capabilities (targeting, optimization, measurement), and establishing experimentation framework…
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. ML & Data Science is at the heart of Lyft's products and decision-making. ML and Data Science professionals at Lyft operate in dyn…
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Mainz am Rhein, Rheinland-Pfalz, DeutschlandDeutschlandba_search2026-07-07
Why this is a real AI job: The job title explicitly mentions 'Data Scientist' and the description implies a focus on data analysis and modeling, which are core data science activities.
Data Scientist (m/w/d) in Vollzeit Data Scientist
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Winnenden, Württemberg, Baden-Württemberg, DeutschlandDeutschlandba_search2026-07-07
Why this is a real AI job: Der Jobtitel und die Beschreibung deuten klar auf ein Data Science/KI-Studium mit Schwerpunkt auf praktischer Anwendung hin. Es handelt sich um eine Ausbildung, die direkt auf KI-Kernkompetenzen abzielt.
Bachelor of Science (DHBW) Data Science und Künstliche Intelligenz (m/w/d) Standort Winnenden 2027
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