Prove it. Don't just claim it.

Cybersecurity career opportunity

Reinforcement Learning Engineer (Cybersecurity)

Posted by Bugcrowd

  • Remote - US
  • full-time
  • remote-international
  • 18 September 2026

At a glance

Job information

Job information
Opportunity profile
EmployerBugcrowd
LocationRemote - US
Cybersecurity fieldSecurity Engineering & Architecture
Job specialtyReinforcement Learning Engineer (Cybersecurity)
Employment typefull-time
Work arrangementremote-international
Remote eligibilityRemote - US
Posted18 September 2026
Application deadline19 October 2026
Skills and qualifications
Experience levelmid
Required skillsR&D : Engineering, Remote US
Visa sponsorshipNo

Job description

We are Bugcrowd. Since 2012, we’ve been empowering organizations to take back control and stay ahead of threat actors by uniting the collective ingenuity and expertise of our customers and trusted alliance of elite hackers, with our patented data and AI-powered Security Knowledge Platform™. Our network of hackers brings diverse expertise to uncover hidden weaknesses, adapting swiftly to evolving threats, even against zero-day exploits. With unmatched scalability and adaptability, our data and AI-driven CrowdMatch™ technology in our platform finds the perfect talent for your unique fight. We aim to create a new era of modern crowdsourced security that outpaces threat actors. Unleash the ingenuity of the hacker community with Bugcrowd, visit www.bugcrowd.com. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Job Summary The Bugcrowd RL and Reasoning Team focuses on pushing the boundaries of autonomous cybersecurity by building authentic reinforcement learning environments for foundational model companies. As a Reinforcement…

Location

Remote - US

STRUCTURED JOB REQUIREMENTS

See how your skills match

Sign in to compare your private skills matrix with these structured job requirements.

  • Threat researchRequired · Proficient

Requirements are automatically mapped from the published job description. Review the original listing before applying.