Reinforcement Learning Infrastructure, Cybersecurity

Bugcrowd

Staff Engineer at Bugcrowd developing reinforcement learning environments for cybersecurity. Collaborating with world-class AI labs and transforming research into practical applications.

Posted 6/29/2026full-timeRemote • California, New Hampshire • 🇺🇸 United StatesMid-LevelSenior💰 $176,400 - $242,550 per yearWebsite

Tech Stack

Tools & technologies

LinuxPythonRust

About the role

Key responsibilities & impact

Build the infrastructure and tooling that transforms real-world vulnerability research into large-scale reinforcement learning environments
Design pipelines that ingest software projects and analyze them with Bugcrowd’s Mayhem platform
Collaborate with frontier AI labs including Anthropic, OpenAI, and Cohere

Requirements

What you’ll need

Strong systems engineering background
Understanding of 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, with Rust a plus
Comfort working with Linux systems and low-level debugging

Benefits

Comp & perks

Discretionary bonus program
Commission plan
Opportunity to participate in a collaborative work environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Systems EngineeringReinforcement LearningLinux Environment SetupBinary ExploitationApplication Development in PythonApplication Development in CLow-Level DebuggingContainerizationFuzzingBuffer Overflow