Rich industrial experience in computer vision, covering at least one of following topics: video segmentation, self-supervised learning, active learning
Solid understanding of state-of-the-arts about computer vision algorithms
Proficient in Python and popular deep learning framework to prove the concept
Excellent English written and verbal communications skills
Proactive and results-oriented
Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH)
Have successful project experience on one of following areas, including active learning, efficient labeling tools or data efficiency
