Define and drive the multi-quarter research strategy and technical roadmap at the nexus of machine learning for security, AI-powered security operations, and autonomous threat investigation and response. Serve as the Technical Lead (TL) for applied research workstreams, translating ambiguous threat challenges into structured, high-impact AI/ML modeling solutions with landed product impact. Architect state-of-the-art model architectures and agentic systems, balancing theoretical novelty with low-latency, resilient inference in adversarial environments.
Architect end-to-end data acquisition and curation strategies across massive, heterogeneous security telemetry; establish benchmarks and evaluation pipelines for robust model assessment. Partner with Engineering (SWE) and Product Management (PM) leadership to establish shared architectural roadmaps, govern production ML deployments, and lead continuous post-deployment telemetry and feedback loops.
Job description provided by Google.
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