Principal Applied Scientist

Independently partners with engineering, product, and security teams to translate complex identity and public safety needs into ambitious research plans and production-ready AI solutions. Leads end-to-end applied research across next-generation facial recognition, including face verification and multi-face recognition, as well as defenses against deepfakes, presentation attacks, and other adversarial threats. Explores advanced approaches such as agentic video analysis and multimodal AI to enable broader public safety and security applications and expand Oracle's portfolio. Surveys the state of the art, builds high-quality datasets, runs rigorous experiments and POCs, and designs, trains, evaluates, and optimizes models for real-world deployment. Writes reliable, well-documented code and collaborates closely to ship, monitor, and improve models in production. Advances Oracle's scientific leadership through publications, patents, white papers, peer review, and engagement with the broader research community, pushing the boundaries of secure identity and public safety AI.

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