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Research Scientist, Interpretability

Anthropic · San Francisco

🇬🇧 English

Job description

About the role

Anthropic is seeking a Research Scientist to join its Interpretability team. You will help reverse‑engineer large language models to build a mechanistic understanding that makes AI systems safer and more trustworthy.

Key responsibilities

  • Develop and apply mechanistic interpretability methods to dissect neural network behavior.
  • Design and build “circuits” that map model features to algorithmic functions.
  • Investigate superposition phenomena and create decompositions for more interpretable components.
  • Publish research findings in top venues and contribute to Anthropic’s scientific publications.
  • Collaborate with engineers, policy experts, and other researchers to translate insights into safer AI systems.

Required profile

  • PhD or equivalent research experience in machine learning, AI, or a related field.
  • Demonstrated expertise in interpretability, neural network analysis, or related research.
  • Strong analytical and problem‑solving abilities with a track record of publishing high‑impact work.
  • Ability to work independently and as part of a fast‑moving research team.

Required skills

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    Published 1 month ago

    Expires 2 weeks from now

    17 views · 0 interested

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    Anthropic

    San Francisco