Reinforcement Learning Infrastructure (Cybersecurity)

About this role

Bugcrowd seeks a Staff Engineer to build infrastructure that transforms real-world vulnerability research into reinforcement learning environments for training AI systems. You'll design pipelines that automatically generate training environments used by frontier AI labs to teach models cybersecurity skills like vulnerability discovery and exploitation.

What you'll do

• Design and build pipelines that ingest software projects and construct RL training environments
• Integrate Bugcrowd's Mayhem platform into automated environment generation workflows
• Develop high-performance systems infrastructure for large-scale AI training
• Create reproducible Linux ML environments using containerization and modern DevOps practices
• Collaborate with frontier AI labs (Anthropic, OpenAI, Cohere) on environment specifications
• Implement DevOps pipelines and reproducible build systems for environment generation

What they're looking for

• Reinforcement learning workflows and LLM training systems
• Python and C programming (Rust preferred)
• Binary exploitation, fuzzing, and x86/64 assembly
• DevOps/CI-CD pipelines (GitHub Actions, Docker, Buildkit, Nix)
• Linux systems administration and low-level debugging
• Software vulnerability analysis and program analysis
• Containerization and reproducible build systems
• Experience with benchmark environments (CTFs, SWE-bench)

Benefits

• Competitive base salary range $176,400 - $242,550
• Discretionary bonus program or commission plan eligible
• 100% remote work opportunity
• Work on cutting-edge AI and cybersecurity intersection
• Collaborate with leading AI research organizations
• Inclusive, family-oriented workplace culture