AI Algorithm Expert - Hand Tracking, PICO - San Jose

About the Team The team at PICO is dedicated to leverage technologies such as computer vision, deep learning, SLAM, 3D reconstruction, and multi-sensor fusion, we continuously expand the ways humans interact with the virtual world through handheld controllers, bare-hand tracking, eye-tracking, and XR interactive accessories, enhancing the overall interaction experience. Responsibilities： - Lead the development of high-precision and low-latency hand tracking algorithms in XR scenarios, covering directions such as monocular/multiple vision and multi-sensor fusion - Build a robust 3D gesture pose estimation model to solve the problems of extreme scenarios such as occlusion, fast motion and complex illumination - Optimize the real-time inference performance of the algorithm on the mobile XR headset to achieve millimeter-level tracking accuracy - Lead the construction of the MultiModal Machine Learning interaction algorithm framework (hand + eye movement + peripheral device) to create a natural XR interaction pattern - Promote patent layout and publication of papers in accredited conferences (CVPR/ICCV/SIGGRAPH, etc.) to enhance the technical influence of the team