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Founding AI Security Researcher (Autonomous Cyber Agents)

Stealth Startup • United States
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AI Summary

Building autonomous cybersecurity agents trained in reinforcement learning (RL) to attack, defend, and patch vulnerabilities. Seeking an AI security researcher with deep offensive/defensive expertise and hands-on AI experience to shape the technical core from day zero.

Key Highlights
Founding role with cofounder equity in autonomous cybersecurity agents
Own technical core from day zero, including RL environments and agent training
Deep offensive/defensive security expertise and hands-on AI experience required

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Key Responsibilities
Design and build autonomous cybersecurity agents using reinforcement learning
Develop RL environments with real-world vulnerabilities for agent training
Create deterministic grading/oracle systems for agent verification
Train and fine-tune AI models for cybersecurity applications
Lead technical architecture and first hires for the team
Technical Skills Required
Reinforcement Learning (RL) Cybersecurity (Offensive/Defensive) AI/ML Model Training

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Benefits & Perks
Cofounder equity
Relocation assistance to San Francisco
Direct ownership of technical mission from day one

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Nice to Have
Experience with exploit development and vulnerability research
Red teaming and penetration testing expertise
Experience with frontier AI labs or AI security research
Publications, repos, or CTF writeups demonstrating technical depth

Job Description

A repeat YC founder is building autonomous cybersecurity agents that attack and defend for real, trained in RL environments against real vulnerabilities.

Looking for a founding AI security researcher with a deep offensive and defensive background and real AI chops, who wants to own the technical core from day zero, with cofounder equity to match.

The bet. Security is going autonomous. The agents that find, exploit, and patch vulnerabilities will be trained, not prompted. We build the RL environments where cyber agents learn against real vulnerabilities with deterministic grading, and we train the agents themselves. The verified environment is the moat, not the weights.

What you'll own

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Job Overview
Posted Nov 13, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Cyber Security
Company Stealth Startup
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