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Security Researcher
Job in
Los Angeles, Los Angeles County, California, 90079, USA
Listed on 2026-10-09
Listing for:
ZeroPath Corp.
Full Time
position Listed on 2026-10-09
Job specializations:
-
Education / Teaching
Cybersecurity, AI Evaluation
Job Description & How to Apply Below
Hunt for real-world vulnerabilities in open-source and customer codebases, validate AI-generated findings, and shape the detection engine that powers Zero Path.
About the RoleZero Path has already disclosed vulnerabilities in curl (150+ bugs fixed), FFmpeg, django-allauth, OpenSSL, and Avahi. You will expand that list. This role sits at the intersection of manual security research and AI-augmented discovery. You will audit codebases, validate and triage findings from our LLM-powered scanner, and feed your expertise back into the detection engine. Your work directly improves what the AI catches next time.
WhatYou'll Do
- Conduct security research on open-source projects and customer codebases across multiple languages
- Validate and triage AI-generated vulnerability findings to calibrate false positive rates
- Write detailed vulnerability reports and coordinate responsible disclosure and CVE assignment
- Define and refine detection rules, heuristics, and prompt strategies for the scanning engine
- Collaborate with the engineering team to improve detection of business logic and auth flaws
- Contribute to Zero Path's public research blog and Wall of Fame
- 3+ years of experience in application security research, penetration testing, or red teaming
- Demonstrated ability to find and responsibly disclose vulnerabilities (CVEs, bug bounties, or published research)
- Strong understanding of common vulnerability classes: OWASP Top 10, business logic flaws, auth bypasses, injection chains
- Experience with static analysis concepts, code review, and source code auditing
- Excellent written communication for vulnerability reports and research write-ups
- Published CVEs or a meaningful bug bounty track record
- Experience with tree-sitter, semgrep, CodeQL, or similar code analysis tooling for benchmarking
- Familiarity with LLM-powered security tools or AI-augmented research workflows
- Contributions to open-source security projects
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