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Bugcrowd
Reinforcement Learning Engineer
Remote · United States · Full time · Mid level
$176k–$243k / year
About the role
Design and scale automated verification pipelines for reinforcement learning in cybersecurity. Bridge security analysis and AI reasoning models to improve vulnerability detection and remediation.
What you’ll do
• Design and deploy RLVR environments for LLM action evaluation. • Develop test harnesses converting vulnerabilities into reward signals. • Integrate automated analysis platform into RL environment pipelines. • Architect reproducible execution environments for agent testing. • Collaborate with AI labs on benchmarks and evaluation metrics.
What you’ll bring
• Understand RL training workflows and RLVR. • Proficient in Python and low-level systems programming. • Knowledge of software vulnerabilities and fuzzing. • Experience with DevOps pipelines and Linux systems. • Experience building benchmark environments.
Life at Bugcrowd
Bugcrowd values diversity and inclusion, fostering a family-like culture with a broad range of interests among employees.
About Bugcrowd
Bugcrowd is a preemptive security platform combining AI and human insight to help organizations identify and mitigate cybersecurity risks.