Senior Research Scientist, AI for Cybersecurity

Responsibilities

• Define a high-impact research agenda and lead projects that advance AI models and agents for cybersecurity and apply them to important security problems.
• Improve model and agent capabilities for security reasoning, code and system understanding, planning, tool use, memory, long-horizon investigation, and collaboration with human defenders through advances in architectures, data, training, post-training, and evaluation.
• Develop AI-powered capabilities for vulnerability discovery, secure development, threat detection, malware analysis, incident investigation, security validation, and automated defense that are robust to adversarial manipulation, uncertainty, distribution shift, and incomplete or noisy operational data.
• Build and evaluate prototypes in realistic environments, measuring detection quality, false positives, time to insight, analyst effectiveness, security risk, and operational scalability.
• Collaborate across AI, security, research, engineering, and product teams; publish original research; mentor researchers and interns; and help translate advances into deployed capabilities.
• What we need to see
• A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
• 5+ years of relevant experience. An established record of research excellence demonstrated through influential publications, open-source systems, patents, technology transfer, or substantial research collaborations.
• Deep expertise in one or more relevant areas such as agentic AI, model training, reasoning and tool use, machine learning for security, vulnerability research, program analysis, software security, intrusion detection, malware analysis, or security operations.
• Experience defining and leading ambiguous, multi-disciplinary research projects and providing technical mentorship.

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