San Francisco, CAUSAgreenhouse2026-09-10
Warum echter KI-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, Seattle, WA
95/100
New York, NY, San Francisco, CA, Seattle, WAUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on designing, building, and deploying AI agents using LLMs and related technologies. The job description heavily emphasizes AI/ML concepts and their application to real-world enterprise problems.
Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI ca…
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Washington, DCUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on developing and deploying machine learning models (including LLMs, GenAI, computer vision) in production environments. The job description details tasks directly related to ML model building, training, tuning, and infrastructure…
The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of…
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London, UKUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on building, governing, and evaluating AI systems in production. The description details responsibilities directly related to core AI/ML engineering tasks like model evaluation, MLOps practices, agent architectures, and addressing…
About the role Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Staff Applied AI Engineer, you'll raise the bar for how AI gets built, governed, and evaluated across the team. You'll define standards that other e…
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Scale AI · New York, NY, San Francisco, CA
95/100
New York, NY, San Francisco, CAUSAgreenhouse2026-09-10
Warum echter KI-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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Scale AI · New York, NY, San Francisco, CA
95/100
New York, NY, San Francisco, CAUSAgreenhouse2026-09-10
Warum echter KI-Job: The role is fundamentally about building and owning an AI product portfolio focused on cybersecurity, including training data, environments, and evaluations for security models. It requires deep understanding of AI/ML techniques applied to security challenges.
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 We're looking…
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San Francisco, CAUSAgreenhouse2026-09-10
Warum echter KI-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
Warum echter KI-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
Warum echter KI-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
Warum echter KI-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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