We are looking for a Research Engineer / Scientist to join Anthropic’s Frontier Red Team (Cyber) in San Francisco. The role involves developing AI-powered cybersecurity tools, running experiments with autonomous agents, building infrastructure, and translating findings into policy‑level demonstrations. Candidates should have strong cybersecurity and research expertise, proficiency in Python, and experience with LLM‑based agents or autonomous systems.
Research Engineer / Scientist, Frontier Red Team (Cyber) na Anthropic
Presencial - San Francisco, CA, United States
Ver mais vagas na AnthropicSalary
USD 320,000 - 485,000
Requirements
Skills
- Have deep expertise in cybersecurity or security research
- Are driven to find solutions to complex, high-stakes problems
- Have experience doing technical research with LLM-based agents or autonomous systems
- Have 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 on how humanity navigates advanced AI
- Are comfortable working on sensitive projects that require discretion and integrity
- Have 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
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
PythonLLM-based agents
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