Research Scientist, Multi-Agent

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · AI Research & Engineering · listed April 22, 2024

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The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$500,000 – $850,000 USD
Requirements listed
6
Length
926 words

In the posting’s own words

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.

What it asks for · 6

  • 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.
  • Have good communication skills and an interest in working with other researchers on difficult tasks
  • Have a passion for making powerful technology safe and societally beneficial
  • Are excited for a mission-driven org with fast-paced, impactful work

What the job covers

  • 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
  • Help create and optimize environments and data for model training that maximize Claude’s performance or ease of use on agentic tasks

Tools and skills named

Models & research
  • Reinforcement learning2×

Words the posting leans on

  • agents7×
  • design5×
  • large5×
  • groups4×
  • problems4×
  • training4×
  • build3×
  • claude3×
  • multi-agent systems3×
  • product3×
  • scale3×
  • agentic tasks2×
  • communication2×
  • experience training2×
  • large groups2×
  • model2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 24, 2026 and last changed by Anthropic on September 23, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.