Staff+ Research Scientist, Multi-Agent

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 together to build beneficial AI systems

About the role

Multi-Agent systems are becoming an increasingly important part of how AI is deployed, whether via fast small-model subagents inside a product, or large groups of agents solving very large problems. Training Claude to be maximally effective and safe within large groups is a challenging new area of reinforcement learning, and represents a new axis for scaling test time compute.

We are looking for researchers who have experience training multi-agent systems at the largest scale and an appreciation for the incentives and mechanism design that come into play

Responsibilities

Help create and optimize environments and data for model training that maximize Claude’s performance or ease of use on agentic tasks Ideate, develop, and compare the performance of different agent harness configurations (eg memory, context management, communication architectures for agents) Design and implement rigorous quantitative benchmarks for large scale agentic tasks Work with our product org to find solutions to our most vexing challenges in applying agents to our products You may be a good fit if you: Have experience with large-scale RL on language models Have experience training multi-agent systems Enjoy going deeply into the roots of a problem and understanding its foundations, rather than its surface.