Reinforcement Learning Engineer

Job Summary

Working remotely, the full-time Reinforcement Learning Engineer will build infrastructure and tooling to create large-scale reinforcement learning environments for training next-generation AI systems in cybersecurity.

Key responsibilities

• Design and implement systems that generate reinforcement learning environments for AI training
• Develop pipelines to analyze software projects and construct training environments using Bugcrowd's Mayhem platform
• Collaborate with teams to advance AI capabilities in vulnerability discovery, exploitation, and remediation

Required qualifications

• Strong understanding of reinforcement learning workflows and modern LLM systems
• Proficiency in Python and C; experience with Rust is a plus
• Background in system security, particularly in binary exploitation techniques
• Experience with DevOps pipelines and reproducible builds (e.g., Docker, GitHub Actions)
• Familiarity with software vulnerabilities, fuzzing, and program analysis