San Francisco, CAUSAgreenhouse2026-10-29
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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Washington, DCUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on building, deploying, and maintaining ML models in production, with a strong emphasis on cutting-edge AI techniques like GenAI, LLMs, and computer vision. The job description details tasks directly related to AI/ML development an…
The goal of a 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 robust…
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Remote (Growth only)USAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on AI/ML projects, research, and building/evaluating models. The description details work on frontier AI systems, model evaluation, and co-authoring research papers. The required skills are heavily AI/ML focused.
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, CAUSAgreenhouse2026-10-29
Why this is a real AI job: The role is explicitly focused on machine learning research, with projects directly related to developing and improving AI models. The description emphasizes cutting-edge research in areas like generative AI, reinforcement learning, and model evaluation.
At Scale , our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliv…
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Scale AI · New York, NY, San Francisco, CA
95/100
New York, NY, San Francisco, CAUSAgreenhouse2026-10-29
Why this is a real AI job: The role is fundamentally focused on building and scaling AI data products, benchmarks, and evaluation methodologies. The description explicitly centers around AI/ML model training, measurement, and governance. The 'Coding' role specifically requires deep und…
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. Scale's evalu…
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Washington, DCUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI/ML systems (agentic AI, computer vision, reinforcement learning, LLMs) for critical government applications. The job description heavily emphasizes AI-specific tasks and responsibilities.
The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production. Our senior machine learning engineers are handed problems that don't yet have an established approach, th…
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Washington, DCUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on designing, implementing, and deploying agentic AI systems for government applications. The job description heavily emphasizes ML, LLMs, and related technologies as the core responsibilities.
The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research…
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Bengaluru, IndiaUSAgreenhouse2026-10-29
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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USAworkable2026-10-29
Why this is a real AI job: The role explicitly focuses on machine learning engineering within an open-source context, directly contributing to the core of Hugging Face's AI offerings.
Open-Source Machine Learning Engineer - EMEA Remote
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USAworkable2026-10-29
Why this is a real AI job: The role explicitly focuses on machine learning engineering within an open-source context, directly contributing to ML models and frameworks. Hugging Face is a leading AI company.
Open-Source Machine Learning Engineer - US Remote
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