Reinforcement Learning Engineer (Cybersecurity)
Core
Building 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
Pipelines that ingest software projects and automatically construct training environments for frontier AI labs.
Domain
Cybersecurity + AI/ML Infrastructure
Deliverable
infrastructure
Required skills
Reinforcement learning workflows, Linux ML environment engineering, binary exploitation, Python, C, DevOps pipelines, reproducible builds, software vulnerability analysis, build systems, low-level debugging
Preferred skills
Rust, benchmark environment experience (CTFs, SWE-bench)
Technologies
Python, C, Rust, Docker, Buildkit, Nix, GitHub Actions, Linux
Responsibilities
Design pipelines to ingest software projects and analyze them with Bugcrowd's Mayhem platform, build clean reproducible Linux ML environments, develop applications for training frontier AI models, work with large open-source codebases, perform low-level debugging on Linux systems
Seniority
Senior, hands-on IC