London, UKUSAgreenhouse2026-06-16
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…
Details Open source / apply
Anthropic · New York City, NY, San Francisco, CA
95/100
New York City, NY, San Francisco, CAUSAgreenhouse2026-06-16
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…
Details Open source / apply
San Francisco, CAUSAgreenhouse2026-06-16
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…
Details Open source / apply
London, UKUSAgreenhouse2026-06-16
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…
Details Open source / apply
Scale AI · New York, NY, San Francisco, CA
95/100
New York, NY, San Francisco, CAUSAgreenhouse2026-06-11
Why this is a real AI job: Die Rolle ist klar auf die Entwicklung und Anwendung von agilen LLMs, Multi-Agent-Systemen und deren Validierung ausgerichtet. Der Fokus liegt auf Forschung, Produktionssystemen und der Integration in eine AI-Plattform. Die Anforderungen beinhalten tiefes tec…
About This Role Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world…
Details Open source / apply