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Reinforcement Learning Engineer – Cybersecurity

Security EngineerSecurity EngineerFull TimeRemoteSeniorTeam 201-500Since 2012H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

4 days ago

Salary

$176.4K - $242.6K / year

Seniority

Senior

Bachelor DegreeEnglishDockerLinuxPythonRust

Job Description

Reinforcement Learning Engineer – Cybersecurity

Bugcrowd

• Advance the frontier of AI Reinforcement Learning development and delivery • Build the infrastructure and tooling that transforms real-world vulnerability research into large-scale reinforcement learning environments • Create training environments that teach AI systems how to hack and defend software • Work at the intersection of AI, security research, and systems engineering

Job Requirements

  • Strong systems engineer
  • Understanding of RL training workflows used by modern LLM systems
  • Experience with DevOps pipelines (e.g., github actions), reproducible builds (docker, buildkit, nix)
  • Proficiency in Python and C. Other languages (especially Rust) are a plus
  • Understanding of software vulnerabilities, fuzzing, or program analysis
  • Experience with build systems and large open-source codebases
  • Comfort working with Linux systems and low-level debugging
  • Experience working with benchmark environments (CTFs, SWE-bench, security challenges, etc.) is a plus

Benefits

  • Discretionary bonus program
  • Commission plan

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