Senior AI Security Research Engineer

Zoom; Denver (CO); Hybrid; USD 124,000 - 271,000; Full time

Job summary

Zoom is seeking an experienced security researcher to blend offensive security with applied AI, surfacing critical risks across Zoom’s products, services, and infrastructure. You’ll test deep architectures, verify exploitability, and trace attack paths beyond standard testing, with high autonomy in research directions.

Candidate should have 5+ years in vulnerability research, experience with AI-driven workflows, and strong coding skills to build tools, proofs of concept, and exploits.

Qualifications

• 5+ years of hands‑on vulnerability research, offensive security, application security, or penetration testing.
• Experience with frontier and open‑weight models for offensive workflows.
• Ability to assess AI-driven research processes, false positives, reproducibility, and architecture trade‑offs.
• Deep technical expertise in web apps/APIs, cloud, or reverse engineering.
• Strong programming and debugging skills, able to read unfamiliar code and write proofs of concept.
• Ability to communicate findings clearly to technical and nontechnical audiences.

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

Vulnerability research

Offensive security

AI-driven research

Security domain expertise

Programming skills

Job description

Zoom is seeking an experienced security researcher to blend offensive security with applied AI, surfacing critical risks across Zoom’s products, services, and infrastructure. You’ll test deep architectures, verify exploitability, and trace attack paths beyond standard testing, with high autonomy in research directions.

Candidate should have 5+ years in vulnerability research, experience with AI-driven workflows, and strong coding skills to build tools, proofs of concept, and exploits.