CVML Engineer 3D Reconstruction

The Video Computer Vision organization is building breakthrough technologies for future Apple products. Our team delivers cutting-edge computer vision machine learning and graphics algorithms that power human understanding and geometric reasoning for health and fitness this role you will collaborate with world-class experts in AI ML Software and Hardware to solve fundamental challenges in human-centric 3D solutions that will impact millions of users across Apples ecosystem.

We are looking for a CVML Engineer with deep expertise in multi-view geometry and modern machine learning approaches and a genuine passion for shipping product features. You will research adapt and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding and geometry-driven health and fitness applications. You will design novel approaches that combine classical geometry with modern deep learning techniques to produce high-quality ground truth data for training and evaluation as well as develop robust high-quality runtime algorithms for on-device deployment. You will collaborate with cross-functional teams to define requirements and validation frameworks and deliver production-ready code optimized for Apple silicon and mobile devices.

Research adapt and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding and geometry-driven health and fitness novel approaches that combine classical geometry with modern deep learning techniques to produce high-quality ground truth data for training and evaluation as well as develop robust high-quality runtime algorithms for on-device with cross-functional teams to define requirements and validation frameworks and deliver production-ready code optimized for Apple silicon and mobile devices.

BS degree in Computer Vision Machine Learning Computer Graphics or related fields and a minimum of 10 years relevant industry experiencenDeep understanding of multi-view geometry and 3D reconstruction proficiency in Python and PyTorch with solid software engineering mathematical foundation in linear algebra optimization and geometry with modern ML architectures and their applications to 3D communication skills and proven ability to work effectively in cross-functional -motivated with a track record of prioritizing effectively and delivering on schedule.

MS or PhD in Computer Vision Computer Graphics Machine Learning Computer Science or related with human-centric 3D and 4D reconstruction approaches datasets and evaluation in differentiable optimization and geometric deep learning optimizing ML models for mobile deployment and resource-constrained of SLAM bundle adjustment and photogrammetric reconstruction in C/C.