Collinear AI
MTS - Research (Cybersecurity)
Sunnyvale, California +2 · Hybrid · Full-time · Posted Sep 22, 2026
- Location
- Sunnyvale, California
San Francisco, CA
Bengaluru, India - Experience
- No specific number of years stated; recent graduates and early-career candidates are encouraged to apply.
- Education
- A PhD is not required; no other education requirement stated.
About the job
Build realistic, reproducible cybersecurity environments and tasks, then develop verifiers and evaluate AI agents’ security investigation and remediation abilities.
What you'll do
- Create runnable cybersecurity environments and realistic vulnerability, incident-response, and hardening tasks.
- Develop reference fixes and robust verifiers that test security remediation while preserving legitimate functionality.
- Run and analyze AI agents, improve evaluations, and contribute tasks and findings to benchmarks and research.
What they ask for
- Practical depth in at least one cybersecurity area and ability to investigate vulnerabilities, identify root causes, and assess fixes.
- Strong Python skills and proficiency in at least one of C/C++, Go, Java, JavaScript/TypeScript, or Rust.
- Comfort with Linux, Git, containers, debugging, and automated testing.
- Clear technical writing and sound judgment about evaluation realism and reliability.
Nice to have
- Disclosed vulnerabilities, accepted security patches, strong CTF results, or useful security tools and write-ups.
- Experience with fuzzing, static or dynamic analysis, reverse engineering, security labs, agent evaluations, adversarial tests, or reinforcement-learning environments.
Tools
Python, C/C++, Go, Java, JavaScript/TypeScript, Rust, Linux, Git
AI focus
Build cybersecurity environments, benchmarks, and training data; evaluate how AI agents use tools to investigate and remediate security issues. Prior AI or machine-learning experience is not expected.
Model-written summary · the original posting is authoritative