Research Scientist, Interpretability
Anthropic · San Francisco
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 1 week from now
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Anthropic
San Francisco