Key skills
Machine LearningDeep LearningComputer Vision
About this role
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
The base salary range for this position in the selected city is $212800 - $450000 annually.
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
The base salary range for this position in the selected city is $212800 - $450000 annually.