The computer vision algorithm engineer will work in a dynamic team as part of the Video Computer Vision org. which develops on-device computer vision and machine perception technologies across Apples products. We balance research and product to deliver the highest quality state-of-the-art experiences innovating through the full stack and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.
M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics physics or computer engineering) with a focus on computer vision and/or machine learning
Rich experiences in machine learning and computer vision covering one of the topics: Video Object Detection / Video Object Tracking / Depth Estimation / Neural Architecture Search
Proven prototyping skills and proficient in coding (C C Python)
Excellent written and verbal communications skills be comfortable presenting research to large audiences and have the ability to work hands-on in multi-functional teams
Publication record in relevant venues (e.g. NeurIPS ICML ICLR CVPR ICCV ECCV SIGGRAPH).
Industry experiences on machine vision applications or low level computer vision.
Awards on public challenges in object detection / object tracking / depth estimation / NAS etc.
Solid understanding of state-of-the-arts in Video Object Detection and Tracking and familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms.
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