Principal AI Research Cybersecurity Scientist (Bay Area)

Description We are seeking a highly technical, hands-on Principal AI Research Cybersecurity Scientist to drive fast-paced research in frontier AI models, benchmarking, and evaluation. The ideal candidate combines strong research credentials with exceptional engineering capabilities and a proven ability to execute rapid research cycles, moving quickly from identifying research questions to building prototypes, running experiments, and delivering actionable results. The role requires deep expertise in LLMs, foundation models, reasoning, agents, and model evaluation, alongside the ability to translate complex customer challenges into measurable research outcomes. Key Responsibilities Conduct hands-on research in frontier AI models, reasoning, agents, and multimodal systems. Design, implement, and iterate on AI benchmarks, evaluation frameworks, and experimental pipelines. Execute short, high-impact research cycles, rapidly moving from hypotheses to experiments, prototypes, and validated findings. Identify model limitations, evaluation gaps, and emerging research opportunities. Work directly with customers and technical stakeholders to translate complex challenges into actionable research. Collaborate with engineering and product teams to turn research findings into practical solutions. Requirements Qualifications PhD or MSc in Computer Science, AI, Machine Learning, or a related field, with strong relevant research experience. Strong publication record at leading AI/ML conferenc