Sr Staff Security Researcher (AI-Assisted Vulnerability Research)
Core
Design, implement, and improve AI-assisted vulnerability research workflows using LLMs and AI agents to discover, validate, and report high-impact software vulnerabilities.
Role type
Sr Staff Security Researcher (AI-assisted vulnerability research)
Builds
AI/security harnesses, validation pipelines, reproducible research experiments, and open-source security tools
Domain
Cybersecurity, AI/ML, Software Vulnerability Research
Deliverable
production ML models | research | client delivery
Required skills
vulnerability research, reverse engineering, fuzzing, exploit development, program analysis, security automation, LLM/AI agent integration, root-cause analysis, exploitability assessment, harness design, validation logic, oracle design, evaluation metrics, strong programming, modern OS knowledge, network protocols, application security
Preferred skills
PhD in CS/Cybersecurity/AI/ML, building AI agent harnesses, handling real vulnerabilities end-to-end, knowledge of Web/OS/Cloud/Supply Chain security, public track record of CVEs/papers/bug bounties, maintainer relationships
Technologies
LLMs, AI agents, fuzzing frameworks, static/dynamic analysis tools, reverse engineering automation, security automation frameworks
Responsibilities
Design and build AI/security harnesses for vulnerability discovery and validation; Produce high-quality research artifacts including technical reports, benchmarks, and CVEs; Conduct deep technical analysis including reverse engineering and exploitability assessment; Build reusable research infrastructure and automation pipelines; Analyze large-scale harness outputs to identify research opportunities; Use AI tools to improve vulnerability research quality and speed
Seniority
Sr Staff, hands-on IC with strategic impact