Computer Vision & Machine Learning Engineer, Photon-Efficient Event-Driven Imaging

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• Design, train, and deploy machine learning models and computer vision algorithms for photon-efficient, event-driven imaging systems
• Contribute to state-of-the-art tracking, depth estimation, and SLAM systems leveraging high-temporal-resolution event-driven data
• Develop novel photon-efficient imaging features and algorithms for next-generation AR Glasses
• Research new machine learning and probabilistic techniques to improve speed, noise robustness, and accuracy of computer vision algorithms
• Collaborate with the computer vision team to deliver next-generation detection technology (face, hand, body) for augmented reality systems

• BSc/MSc with 3+ years of relevant industry experience in computer vision for photon-efficient or event-driven imaging