Principal AI Research Cybersecurity Scientist (Bay Area)
Core
Conduct hands-on research in frontier AI models, reasoning, agents, and multimodal systems to identify limitations and evaluation gaps, translating complex customer challenges into measurable research outcomes.
Role type
Principal AI Research Cybersecurity Scientist
Builds
AI benchmarks, evaluation frameworks, and experimental pipelines for frontier models
Domain
AI/ML research and cybersecurity
Deliverable
production ML models
Required skills
LLMs, foundation models, reasoning, agents, model evaluation, Python, PyTorch, experimental design, hypothesis testing, prototype development
Preferred skills
AI for Cybersecurity, autonomous security agents, vulnerability research, penetration-testing automation, LLM red teaming, adversarial machine learning, prompt injection, agentic AI security, CTFs, sandboxed exploitation environments, static/dynamic code analysis, security testing frameworks
Technologies
Python, PyTorch
Responsibilities
Design and implement AI benchmarks and evaluation frameworks; execute rapid research cycles from hypotheses to validated findings; work with customers to translate challenges into actionable research; collaborate with engineering teams to turn findings into practical solutions
Seniority
Principal, hands-on IC