Research Engineer / Scientist, Frontier Red Team (Cyber)

What You'll Do

• 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

Sample Projects

• Building frameworks and tools that enable AI models to autonomously find and patch vulnerabilities
• Running purple-team simulations where AI defenders compete against AI attackers in network environments
• Pointing autonomous AI systems at real-world security challenges (bug bounties, CTFs etc.) to characterize risks, defensive potential, and compare to human experts
• Building demonstrations of frontier AI cyber capabilities for policy stakeholders

You May Be a Good Fit If You

• 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

Strong Candidates May Also Have

• 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

Compensation

Annual Salary: $350,000 — $850,000 USD