We use cutting-edge machine learning models deployed on custom hardware to enable high-quality image acquisition, identification, and fraud prevention, all while requiring minimal user interaction. * Experience with presentation attack detection (PAD) and broader biometric fraud prevention / adversarial robustness - You will partner closely with product, security, hardware, and operations teams to ensure that our team delivers high-performing, privacy-preserving biometric systems that are robust against fraud and presentation attacks, meeting agreed milestones and delivery timelines. * Own the vision, roadmap, and execution for World's biometric recognition stack (iris/face recognition and related fraud defenses), balancing research innovation with production reliability * Define and drive performance goals that balance biometric accuracy, user experience, and fraud resistance, ...
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