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Lead a team of malware researchers while remaining hands-on with focused research, emerging threat analysis, and improvements to malware review and identification processes.

Own several concurrent delivery engagements for frontier AI labs, coordinating researchers, engineers, and reviewers from scope through final delivery. Translate customer specifications into task plans, manage schedules and capacity, and maintain high quality standards in a rapidly changing research

A principal-level hands-on engineer will lead 0-to-1 product initiatives, translating advanced AI and security capabilities into customer-ready products. The role combines architecture, coding, technical client leadership, and product strategy within a dedicated product pod.

Join a specialized security team conducting high-impact, project-based assessments of generative AI models, agentic frameworks, and related infrastructure. The role focuses on identifying vulnerabilities, assessing risk, and helping clients improve the resilience of their AI technologies.

Lead and grow a multidisciplinary R&D team of ML engineers, data scientists, and software engineers developing AI safety, moderation, real-time inference, data platform, and MLOps systems.

Lead and mentor a team of malware researchers and reverse engineers, driving long-term security research on Android frameworks. Detect large-scale malware campaigns, enhance research reports, and collaborate across teams. 40% hands-on technical work involving static and dynamic analysis.