# Research Engineer / Scientist, Frontier Red Team (Cyber)

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** Security Engineering
**Salary:** $350k – $850k/yr
**Skills:** Python, Cybersecurity, LLMs, AI Agents, Vulnerability Research, Pentesting, Malware Detection, Network Security, Offensive Security, Ai Safety
**Posted:** 2026-02-12

> Develop tools and frameworks to counter AI-enabled cyber threats, design experiments evaluating autonomous AI cyber capabilities, and translate findings into policy-informing demonstrations. Requires deep cybersecurity expertise, Python skills, and experience with LLM agents.

## Job Description

## 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

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