Principal Security Researcher – AI (Cybersecurity LLM Post-Training, Evals, and Environments)
Palo Alto Networks · Posted Sep 3, 2026
- Santa Clara, California, United States
- On-site
- Full-time · Principal
- $163K–$264K per year
- Visa sponsorship
Lead AI research to advance cybersecurity capabilities of large language models and autonomous agents.
Compensation
$163,200.00 - $264,000.00/yr
Responsibilities
- Develop high-quality security data, realistic training and evaluation environments, reliable graders, and post-training methods for complex cybersecurity tasks spanning vulnerability research, threat analysis, detection, investigation, remediation, secure coding, and autonomous security workflows.
- Design reproducible training and evaluation environments for complex cybersecurity tasks.
- Transform source-code repositories, vulnerabilities, security incidents, malware samples, threat intelligence, detection logic, patches, test harnesses, and security tools into structured tasks for LLMs and AI agents.
- Build reliable graders, verifiers, and reward signals using tests, compilation, runtime behavior, security-tool outputs, detection results, vulnerability reproduction, and other domain-specific validation methods.
- Design evaluations for security reasoning, code understanding, threat analysis, root-cause analysis, tool use, long-horizon execution, and autonomous task completion.
Requirements
- BS/MS degree in Computer Science, Machine Learning, Artificial Intelligence, Cybersecurity, or a related field, or equivalent practical experience.
- Nice to have: reinforcement learning