We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. The New York Times, Bankless and TechCrunch have all recognized our progress in identity, cryptography, AI, and global-scale hardware deployment. 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. 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. You will partner closely with product, security, hardware, and operations teams to ensure that our team delivers ...
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