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
Preferred Qualifications
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.
Team oriented, result oriented, and self motivated.