Reinforcement Learning Engineer (Cybersecurity)
Core
Build infrastructure and tooling to generate large-scale reinforcement learning environments for training next-generation AI systems in cybersecurity.
Role type
Senior IC reinforcement learning engineer (systems & infrastructure)
Builds
Thousands of reproducible Linux ML environments for frontier AI labs
Domain
Cybersecurity + AI/ML infrastructure
Deliverable
production ML models
Required skills
Reinforcement learning workflows, Linux ML environment construction, binary exploitation, Python, C, DevOps pipelines, reproducible builds, system security, software vulnerability analysis
Preferred skills
Rust, CTFs, SWE-bench, security challenges, large open-source codebases, low-level debugging
Technologies
Python, C, Rust, Docker, Buildkit, Nix, GitHub Actions, Linux
Responsibilities
Design pipelines to ingest software projects and construct training environments, analyze projects with Bugcrowd's Mayhem platform, build clean reproducible Linux ML environments, develop applications in Python and C, work with benchmark environments
Seniority
Senior, hands-on IC
