Reinforcement Learning Engineer (Cybersecurity)

📋 Description

• Build infrastructure turning vulnerability research into scalable RL training environments.
• Design pipelines that ingest software projects and generate training environments.
• Develop high-performance Linux ML environments using containers and build tooling.
• Implement RL workflows to advance autonomous cybersecurity research.
• Create environments used by frontier AI labs like Anthropic and OpenAI.
• Collaborate across AI, security, and systems engineering.

🎯 Requirements

• Experience with reinforcement learning workflows.
• Building reproducible Linux ML environments (containers, buildkit, etc).
• Proficiency in Python and C; Rust is a plus.
• Understanding software vulnerabilities, fuzzing, or program analysis.
• Experience with build systems and large open-source codebases.
• Comfort with Linux systems and low-level debugging.

🎁 Benefits

• Remote, 100% work-from-home.
• Potential discretionary bonus program or commission eligibility.
• Collaborative culture and opportunities to work with frontier AI labs.