Reinforcement Learning Engineer – Cybersecurity

Bugcrowd

Reinforcement Learning Engineer with Bugcrowd utilizing AI for cybersecurity development. Building tools and infrastructure for AI systems.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $176,400 - $242,550 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI Reinforcement Learning development, systems engineering, and security research, with a strong focus on building infrastructure for training environments and understanding software vulnerabilities.

Highest-signal resume keywords

Reinforcement Learning WorkflowsPython ProficiencyDevOps PipelinesLinux Systems ExperienceSoftware Vulnerabilities Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Reinforcement LearningPythonCRustDevOpsFuzzingProgram AnalysisLow-Level DebuggingBuild SystemsOpen-Source Codebases

Tools & Technologies

DockerBuildkitNixGitHub Actions

Industry Keywords

AISecurity ResearchSystems EngineeringBenchmark EnvironmentsCTFsSWE-Bench

Tech Stack

Tools & technologies

DockerLinuxPythonRust

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

Discretionary bonus program
Commission plan