San Francisco, CaliforniaUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on building and deploying ML models to optimize infrastructure, a core application of AI/ML. The job description highlights the use of machine learning, scheduling, and optimization algorithms as central to the position's impact.
RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query…
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Remote - Washington D.C.USAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on building and productionizing GenAI applications, serving as a technical advisor on AI, and influencing the product roadmap. The required skills and experience are heavily weighted towards AI/ML/Data Science.
PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and in…
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London, UKUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description heavily emphasizes AI/ML/LLM concepts and techniques.
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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Anthropic · New York City, NY, San Francisco, CA
95/100
New York City, NY, San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description details tasks such as developing RL infrastructure,…
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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San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and improving RL training infrastructure, directly supporting AI research and model development. The responsibilities center around ML systems and algorithms.
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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London, UKUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and improving RL training infrastructure, directly supporting and accelerating AI research. The responsibilities center around ML models and 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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San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on evaluating and improving large language models (Claude), building evaluation infrastructure, and monitoring model health. The core responsibilities directly involve AI/ML concepts and techniques.
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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Anthropic · Boston, MA, New York City, NY, San Francisco, CA, Seattle, WA, Washington, D.C.
95/100
Boston, MA, New York City, NY, San Francisco, CA, Seattle, WA, Washington, D.C.USAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on deploying and advising customers on the use of Anthropic's LLMs (Claude API). Responsibilities center around technical implementation, evaluation, and scaling of LLM-powered products. The required skills heavily emphasize pro…
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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San Francisco, CAUSAgreenhouse2026-09-10
Why this is a real AI job: The role is fundamentally focused on building infrastructure to support machine learning research specifically for detecting and mitigating misuse of AI models. It directly involves working with model internals, training detection methods, and deploying these…
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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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…
Details Open source / apply