Anthropic is hiring a Research Engineer / Scientist for its Frontier Red Team (Cyber) in San Francisco. The role focuses on developing autonomous AI‑empowered cybersecurity tools, designing experiments, and building infrastructure to defend against advanced AI‑enabled cyber threats. Candidates should have deep cybersecurity expertise, strong software engineering skills (especially in Python), and experience with LLM‑based agents. The position offers competitive salary, benefits, and a hybrid work policy requiring staff to spend at least 25% of time in office.
Research Engineer / Scientist, Frontier Red Team (Cyber) at Anthropic
On-site - San Francisco, CA
More jobs at AnthropicSalary
USD 320,000 - 485,000
Requirements
Skills
- deep expertise in cybersecurity or security research
- driven to find solutions to complex, high-stakes problems
- experience doing technical research with LLM-based agents or autonomous systems
- strong software engineering skills, particularly in Python
- can own entire problems end-to-end, including both technical and non-technical components
- design and run experiments quickly, iterating fast toward useful results
- thrive in collaborative environments
- care deeply about AI safety and want your work to have real-world impact
- comfortable working on sensitive projects that require discretion and integrity
- proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics
- experience with offensive security research, vulnerability research, or exploit development
- research or professional experience applying LLMs to security problems
- track record in competitive CTFs, bug bounties, or other security-related competitions
- experience building security tools or automation
- track record of building demos or prototypes that communicate complex technical ideas
- experience working with external stakeholders (policymakers, government, researchers)
- familiarity with AI safety research and threat modeling for advanced AI systems
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
Responsibilities
- Develop systems, tools, and frameworks for AI-empowered cybersecurity, such as autonomous vulnerability discovery and remediation, malware detection and management, network hardening, and pentesting
- Design and run experiments to elicit and evaluate autonomous AI cyber capabilities in realistic scenarios
- Design and build infrastructure for evaluating and enabling AI systems to operate in security environments
- Translate technical findings into compelling demonstrations and artifacts that inform policymakers and the public
- Collaborate with external experts in cybersecurity, national security, and AI safety to scope and validate research directions
- Senior candidates will also set research strategy, define what problems are worth solving, own the technical roadmap, and manage relationships with cross-functional partners
Technologies
PythonLLMsAI
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