Our approach to identity leverages cryptographic principles and privacy-preserving verification techniques so that biometric data is processed locally and used only to generate secure, non-linkable proofs of identity, ensuring retain control and choice over their personal information - You will set the technical direction and execution strategy across the full lifecycle of biometric ML systems: data collection and governance, dataset curation and pipelining, model training and evaluation, deployment (including mobile and custom hardware), monitoring in production, and rapid iteration. * data acquisition strategy and quality standards * data pipelines and dataset governance (privacy, access control, lineage, compliance) * Strong science and/or engineering background (e.g., computer vision, machine learning, robotics, signal processing, or related field), with the ability to ...
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