Staff Security Researcher- Detection AI Research
Core
Research attack techniques and TTPs, design and maintain AI-powered detections using ML models and LLM-based agents, and automate detection authoring to protect global enterprises from sophisticated attacks.
Role type
Staff Security Researcher (Detection AI Research)
Builds
Production AI-powered detection pipelines and LLM-based agents for autonomous detection and response
Domain
Cybersecurity, Machine Learning, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Security research, threat hunting, Windows internals, EDR telemetry analysis, Python development, SQL/KQL/Splunk, ML/LLM application to security, malware analysis/reverse engineering, detection content writing (Sigma/YARA)
Preferred skills
Red-team experience, EDR/XDR product experience
Technologies
Python, SQL, KQL, Splunk, ML models, LLMs, Sigma, YARA
Responsibilities
Research attack techniques and TTPs and translate them into detection hypotheses; Design, build, and maintain AI-powered detections end-to-end; Drive development of LLM-based agents for automated detection authoring; Analyze detection gaps and false positives with analysts and engineers; Write high-quality production Python code; Stay current with APTs and emerging TTPs
Seniority
Staff, hands-on IC
