Strong science and/or engineering background (e.g., computer vision, machine learning, robotics, signal processing, or related field), with the ability to evaluate and guide both research and engineering decisions * Familiarity with privacy-enhancing technologies and privacy-by-design approaches for biometric systems (e.g., secure enclaves/TEEs, on-device processing patterns, cryptographic approaches, differential privacy, federated learning, secure aggregation, etc.) Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can't replicate. 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.
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