About the job
We are seeking a CVML Engineer with knowledge in multi-view geometry and modern machine learning approaches. In 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 work on 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, 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.
Responsibilities
No responsibilities listed.
Qualifications
Minimum
Minimum requirement of a bachelors degree.
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.
Preferred
MS 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.
Experience optimizing ML models for mobile deployment and resource-constrained environments.