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Bugcrowd

Reinforcement Learning Engineer (Cybersecurity)

RemoteUnited States only
Published
Role
AI / ML
$176.4k–$242.6k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Systems engineer for RL infrastructure at the intersection of AI and cybersecurity. Must know RL workflows, Linux/reproducible ML environments, Python, C, and security topics like fuzzing, exploitation, vulnerabilities, or program analysis. Remote US role.

Core skills

Reinforcement LearningPythonC

Required skills

LinuxContainersMCPDevOps pipelinesGitHub ActionsDockerBuildKitNixFuzzingProgram analysis

Optional skills

RustCTFsSWE-bench

What you'll do

  • 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 used to train next-generation AI systems.
  • Help create training environments that teach AI systems how to hack and defend software.
  • Build infrastructure that generates thousands of environments used to train frontier AI systems.
  • Build systems that generate RL environments, not just the environments themselves.
  • Design pipelines that ingest software projects, analyze them with Bugcrowd’s Mayhem platform, and automatically construct training environments used by frontier AI labs including Anthropic, OpenAI, and Cohere.

What they require

  • Strong systems engineer.
  • Understands reinforcement learning workflows.
  • Building clean, reproducible Linux ML environments (containers, MCP, etc).
  • System security background in binary exploitation, such as buffer overflows, fuzzing, exploitation, and x86/64.
  • Experience developing applications in Python and C.
  • 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.
  • 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.
  • Preferred: Rust.
  • Preferred: Experience working with benchmark environments (CTFs, SWE-bench, security challenges, etc.).
  • Must be able to complete all physical requirements of the job with or without reasonable accommodation.
  • Must be able to remain in a stationary position 50% of the time.
  • Must be able to carry / move laptop as needed throughout the work day.
  • Possess the requisite integrity to maintain highly confidential, sensitive information in the strictest confidence.

Benefits

  • Remote, work-from-home 100% of the time.
  • May be eligible to participate in a discretionary bonus program or commission plan.
🇺🇸 United StatesCybersecurityMid-sizebugcrowd.com/

Details

Apply routeGreenhouse
$176.4k–$242.6k/yr