The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.

DESCRIPTION

Training cutting-edge algorithms requires high quality ground truth data. To meet this need, we are looking for a skilled Computer Vision Software Engineer with hands-on experience developing optimization and 3D reconstruction algorithms for computer vision and computer graphics applications. In this role, you will work with petabyte-scale datasets from light-stages, applying the latest photogrammetry reconstruction and novel view synthesis methods to generate high quality data for human understanding and human intelligence applications.

MINIMUM QUALIFICATIONS

• BS and a minimum of 3 years relevant industry experience.
• Experience working on projects for 3D computer vision or graphics applications.
• Knowledge of numerical optimization and linear algebra libraries such as Numpy, JAX or PyTorch.

PREFERRED QUALIFICATIONS

• MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
• Excellent communication and experience working with multi-functional teams.
• Self-motivated, with a proven track record to optimally prioritize and deliver tasks on schedule.
• Strong software engineering skills and proficiency in Python.
• Comprehensive understanding of photogrammetry and 3D scene representation.
• Strong software engineering skills and proficiency in C/C++.
• Knowledge of radiance field representation methods, such as NeRF or 3D Gaussian Splatting.

Please refer the Job description for details