Washington, DCUSAgreenhouse2026-07-08
Why this is a real AI job: The role is explicitly focused on building and managing data pipelines for Generative AI models (LLMs), including SFT and RLHF. The job description heavily emphasizes AI/ML concepts and their application to customer projects.
Scale is at the frontier of the AI industry, improving the world’s leading generative AI and large language models through model evaluations, human-powered supervised fine-tuning datasets, world-class reinforcement learning with human feedback, and more. Scale AI’s Public Sector team is growing in…
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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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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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Wuppertal, Nordrhein-Westfalen, DeutschlandDeutschlandba_search2026-07-07
Why this is a real AI job: The job title explicitly mentions 'Machine Learning Scientist' and the description confirms a focus on machine learning engineering. This indicates a core role in developing and implementing ML solutions.
Principal Machine Learning Scientist (alle Gechlechter) Machine Learning Engineer
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New York, US, New YorkGermanygreenhouse2026-07-04
Why this is a real AI job: The role explicitly focuses on designing, developing, and productionizing machine learning algorithms, foundation models, and integrating Generative AI into the core platform. The required experience and skills are heavily weighted towards ML/AI expertise.
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process I…
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Bellevue, WA, Menlo Park, CAUSAgreenhouse2026-07-02
Why this is a real AI job: The role is explicitly focused on building and evaluating agentic AI systems powered by LLMs. The job description details tasks directly related to ML model selection, fine-tuning, evaluation frameworks, and production deployment of AI agents.
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…
Details Open source / apply