San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on researching and building AI agents, LLMs, and related data infrastructure. The job description heavily emphasizes ML research, model evaluation, and practical application of AI technologies.
About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F rou…
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Scale AI · New York, NY, San Francisco, CA
95/100
New York, NY, San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and scaling data products for training and evaluating coding models (LLMs, agents). The job description heavily emphasizes AI/ML concepts like SFT, reinforcement learning, benchmarks, and model evaluation. It's a cor…
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. Coding is one…
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San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on research and engineering of machine learning models, agentic AI systems, and productionizing AI solutions. The job description heavily emphasizes AI/ML technical direction, model training, evaluation, and building AI agents.
About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and aut…
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London, UKUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on applied AI research, building agentic systems, optimizing models, and evaluating AI performance in critical applications. The job description heavily emphasizes AI/ML/LLM concepts and their practical implementation.
Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact…
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Remote (Growth only)USAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing ML models, contributing to research publications, and working with cutting-edge AI systems. The core responsibilities are deeply rooted in AI/ML engineering and research.
About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders ac…
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Remote (Growth only)USAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing advanced generative AI systems and ML models. The fellow will be directly involved in ML projects, research publications, and advising on AI-related technologies. The description heavily emp…
About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders ac…
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San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on research and development of machine learning models, synthetic data pipelines, and agents for enterprise applications. The job description heavily emphasizes LLMs, post-training, and agent-building algorithms.
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…
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Bengaluru, IndiaUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on developing and deploying ML-based search relevance models, NLP pipelines, and evaluating search ranking improvements. The core responsibilities are heavily centered around AI/ML techniques.
P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products . Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of milli…
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San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is fundamentally focused on building and deploying autonomous agents powered by LLMs to automate go-to-market processes. Key responsibilities explicitly center around agent development, evaluation, and integration with various systems.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
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US - RemoteUSAFullTimeashby2026-09-10
Why this is a real AI job: The role is explicitly focused on applying data science and AI to solve cybersecurity challenges, specifically related to AI agents. The job description heavily emphasizes building metrics, evaluating models, and improving security controls using data-driven…
ABOUT THE TEAM OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and tr…
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