We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. 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. * 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 * Establish strong engineering and scientific standards: reproducible experimentation, code quality, testing, review culture, MLOps discipline, and documentation - This is a leadership role for someone who can combine strong scientific/engineering judgement with pragmatic delivery, and ...
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