Primary record

Software Engineer, Infrastructure, Interpretability

Anthropic Indexed employerSan Francisco, CA · San Francisco, California, United States
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Workplace

hybrid

Employment

Internship

Published

Aug 13, 2026

Closes

No date supplied

The role

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:

When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"

The Interpretability team at Anthropic works to understand what's actually happening inside trained models - and applies our best techniques to keep frontier AI safe as it rapidly improves.

Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs.

More resources to learn about our work:

Our Research blog - covering advances including Monosemantic Features and Circuits

An Intro to Interpretability from our research lead, Chris Olah

The Urgency of Interpretability from CEO Dario Amodei

Engineering Challenges Scaling Interpretability - directly relevant to this role

<a href="https://youtu.be/aAPpQC-3EyE?si=C2jqlXb15OIJSkMk&t=487" target

Requirements

Department: AI Research & Engineering