Security Labs Engineer
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.
What this role actually needs.
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. Responsibilities: - Own the end-to-end execution of a Security Labs project: refine the hypothesis, design the experiment, build the prototype, run the pilot, and write up the results - Build novel security infrastructure under real time pressure: isolated clusters, hardened access controls, cryptographic verification layers, with a bias toward learning fast - Where experiments succeed, drive them toward production scale. An experiment that works on one cluster but not a hundred is not a finished result. - Work embedded with research teams (Pretraining, RL, Inference) to stress-test whether their core workflows can function under extreme security controls, and document precisely where they break - Evaluate and integrate emerging security technologies through coordination with external vendors and research groups - Turn experimental results into clear, decision-ready writeups that inform Anthropic's long-term security architecture and RSP commitments Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Security Labs Engineer role.
- Own the end-to-end execution of a Security Labs project: refine the hypothesis, design the experiment, build the prototype, run the pilot, and write up the results
- Build novel security infrastructure under real time pressure: isolated clusters, hardened access controls, cryptographic verification layers, with a bias toward learning fast
- Where experiments succeed, drive them toward production scale. An experiment that works on one cluster but not a hundred is not a finished result.
- Work embedded with research teams (Pretraining, RL, Inference) to stress-test whether their core workflows can function under extreme security controls, and document precisely where they break
- Evaluate and integrate emerging security technologies through coordination with external vendors and research groups
- Turn experimental results into clear, decision-ready writeups that inform Anthropic's long-term security architecture and RSP commitments
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Source: job-boards.greenhouse.io · Source ID: 5153564008 · Confidence: 97/100 · Last checked: May 7, 2026
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