Senior AI Security Research Engineer (Offensive)

Zoom; Pierre (SD); Hybrid; USD 124,000 - 271,000; Full time

Job summary

Zoom's Offensive Security team seeks a seasoned vulnerability researcher to blend offensive security with applied AI. You will surface critical risks across Zoom's products, services, and infrastructure, using deep target knowledge, threat analysis, and models to form hypotheses, validate exploitability, and trace attack paths beyond standard testing.

In this hybrid role, you will work with Security Assurance and Eng/Product Security to communicate findings, drive remediation, and share

Qualifications

• 5+ years of hands-on vulnerability research, offensive security, application security, or penetration testing.
• Hands-on experience running offensive workflows with frontier and open-weight models, including model selection where refusal behavior would otherwise block legitimate exploit development.
• Experience assessing the quality of AI-driven research processes, including identifying false positives, missed vulnerabilities, unstable results, and reproducibility gaps.
• Deep technical expertise in at least one security domain: web applications and APIs, Java applications, cloud or service infrastructure, client software, operating systems, or reverse engineering.
• Strong programming and debugging skills: ability to read unfamiliar code, build research tooling, write proofs of concept, and trace behavior across system boundaries.

Responsibilities

• Leverage AI to conduct vulnerability research across Zoom's products, applications, services, and infrastructure, with a focus on high-impact issues, subtle vulnerabilities, confirmed exploitability, and attack paths that cross component and trust boundaries.
• Use experience, threat analysis, architecture knowledge, source code, and observed system behavior to choose targets and guide investigations.
• Apply frontier and open-weight models, agents, and other AI capabilities across the research lifecycle: reconnaissance, code analysis, hypothesis generation, exploit development, and verification.
• Design and tune research harnesses that give models the right context, tools, execution environments, and feedback to investigate real targets.
• Develop custom tooling, including analysis utilities, fuzzers, agents, test harnesses, proofs of concept, and full exploits, when it helps answer the research question.
• Convert promising model output into defensible security evidence: reproduce findings, rule out false claims, establish preconditions, and distinguish a possible weakness from a demonstrated vulnerability with real impact.
• Improve the reliability and reach of AI-driven research by tackling false positives, false negatives, context limits, nondeterminism, and reproducibility.
• Work directly with Engineering and Product Security to communicate findings, support remediation, surface related risks, and verify fixes.
• Share tools, techniques, and lessons learned so Security Assurance and the broader Security org can enhance their processes through the use of AI.

Skills

Threat analysis

Exploit development

Programming & debugging

Independent research

Communication

AI research tooling

Tools

Fuzzers

Research harnesses

Job description

Zoom's Offensive Security team seeks a seasoned vulnerability researcher to blend offensive security with applied AI. You will surface critical risks across Zoom's products, services, and infrastructure, using deep target knowledge, threat analysis, and models to form hypotheses, validate exploitability, and trace attack paths beyond standard testing.

In this hybrid role, you will work with Security Assurance and Eng/Product Security to communicate findings, drive remediation, and share