Computer Vision Algorithm Student - Imaging & Sensing Technology Group

We live in a mobile and device driven world where knowledge of the physical world around us is needed. We rely on this knowledge to get around, to learn about our environment and to enable spectacular new features for custom applications. Apple is meeting those needs as robustly and as creatively as possible and is interested in people who want to help us keep that commitment. The success we are striving will be the result of very skilled people working in an environment which cultivates creativity, partnership, and thinking of old problems in new ways. If that sounds like the kind of environment that you find intriguing, then let's talk. These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a team that sets the standard in fostering excellence, creativity and innovation. Will you help us design the next generation of revolutionary Apple products? The Imaging & Sensing Technology Group at Apple develops depth-sensing hardware such as the revolutionary TrueDepth camera that powers FaceID and the Scanning LiDAR in the new iPad Pro. This multi-disciplinary team are responsible for architecture, research, and manufacturing development of these highly complex sensing systems for Apple products. The group is seeking an Algorithm student in the field of Computer Vision.

Description

In this position you will join a team of researchers developing algorithms for cutting edge computer vision solutions and 3D sensing technologies. Develop and test algorithms in the fields of machine learning, computer vision and image processing

Minimum Qualifications

An excellent MSc or PhD student in one of the following areas: Machine Learning, image processing and computer vision
Hands on experience with Deep Learning algorithms development, large scale data handling
Experience in Generative AI, Diffusion models, Vision Transformers, and Foundation models, an advantage
Publication in top-tier computer vision conference, an advantage

Preferred Qualifications

MSc or PhD in Electrical Engineering, Physics or Computer Science with excellence in the domain of Computer Vision or similar

Submit Resume