3 months ago
Remote, United StatesSenior
Base Salary
$176k - $243k/yr
Responsibilities
- Design and build pipelines that ingest software projects and generate large-scale reinforcement-learning environments.
- Analyze software projects with Bugcrowd’s Mayhem platform and automatically construct training environments.
- Develop infrastructure and tooling for AI systems learning vulnerability discovery, exploitation, and remediation.
- Build high-performance, clean, and reproducible Linux-based machine-learning environments.
Requirements
- Understanding of reinforcement-learning training workflows used by modern LLM systems.
- Experience with DevOps pipelines, reproducible builds, build systems, and large open-source codebases.
- Proficiency in Python and C; Rust experience is a plus.
- Understanding of software vulnerabilities, fuzzing, or program analysis.
- Experience building clean, reproducible Linux ML environments and comfort with low-level debugging.
- Background in binary exploitation, including buffer overflows, fuzzing, exploitation, and x86/64.
- Experience with benchmark environments such as CTFs, SWE-bench, or security challenges is a plus.
Benefits
- Fully remote, work-from-home 100% of the time.
- May be eligible for a discretionary bonus program or commission plan.
- Reasonable accommodations are available for qualified individuals with disabilities.
About Bugcrowd
Bugcrowd builds a crowdsourced security platform used by security teams to run bug bounty, vulnerability disclosure, and penetration testing programs. The service combines SaaS workflow and triage with access to a vetted hacker community, paying researchers per validated finding while customers subscribe to managed programs. Founded in 2012 and headquartered in San Francisco, the privately held company emphasizes AI-driven matching and signal processing to prioritize actionable vulnerabilities.