We are looking a CVML Engineer with deep expertise in multi-view geometry and modern machine learning this role you will research adapt and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding and AI health applications designing novel approaches that combine classical geometry with modern deep learning techniques. You will collaborate with cross-functional teams to define requirements and validation frameworks. You will deliver production-ready code while driving technical innovation for health and human intelligence applications and optimize algorithms for deployment on Apple silicon on mobile devices. The ideal candidate will demonstrate passion for pushing the boundaries of 3D and 4D computer vision possess a strong applied research mindset with ability to translate academic innovations into shipping products bring a collaborative approach to solving complex technical challenges and maintain commitment to engineering excellence and clean maintainable code.
BS and a minimum of 3 years relevant industry experience.
Hands-on experience developing 3D and/or 4D computer vision algorithms and systems.
Proficiency in Python and PyTorch with strong software engineering practices.
Mathematical foundation in linear algebra optimization and geometry processing.
MS or PhD in computer vision computer graphics machine learning computer science computer engineering or related fields.
Experience with human-centric 3D and 4D reconstruction approaches datasets and evaluation methodology.
Deep understanding of multi-view geometry camera calibration and 3D reconstruction pipelines.
Background in differentiable optimization and geometric deep learning approaches.
Experience optimizing ML models for mobile deployment and resource-constrained environments.
Knowledge of SLAM bundle adjustment and photogrammetric reconstruction techniques.
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