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.