ByteDance
AI Algorithm Expert - Hand Tracking, Pico San Jose Regular
ByteDance, San Jose, California, United States, 95199
AI Algorithm Expert - Hand Tracking, Pico
Location: San Jose Team: Technology Employment Type: Regular Job Code: A193113 About the Team
The team at Pico is dedicated to leveraging technologies such as computer vision, deep learning, SLAM, 3D reconstruction, and multi-sensor fusion to 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 problems of extreme scenarios such as occlusion, fast motion, and complex illumination. Optimize 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 top conferences (CVPR/ICCV/SIGGRAPH, etc.) to enhance the technical influence of the team. Qualifications
Minimum: Majored in Computer Vision, Pattern Recognition or Applied Mathematics, with more than 5 years of experience in algorithm R&D. Familiar with the technical principles, advantages and disadvantages of commercial solutions such as ARKit Hand Tracking and Quest Hand Tracking. Proficient in PyTorch framework and QNN deployment ecosystem, with practical experience in TensorRT end-side optimization. Preferred: Experience developing the core algorithm of HandTracking for XR products such as Apple Vision Pro, Meta Reality Labs, and Magic Leap. Preferred: Published papers on gesture tracking in top conferences such as CVPR/ICCV/SIGGRAPH. Compensation
The base salary range for this position in the selected city is $208,800 - $438,000 annually. Benefits
Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). About Pico
Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor-made solutions for our enterprise clients in the fields of education and healthcare.
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Location: San Jose Team: Technology Employment Type: Regular Job Code: A193113 About the Team
The team at Pico is dedicated to leveraging technologies such as computer vision, deep learning, SLAM, 3D reconstruction, and multi-sensor fusion to 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 problems of extreme scenarios such as occlusion, fast motion, and complex illumination. Optimize 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 top conferences (CVPR/ICCV/SIGGRAPH, etc.) to enhance the technical influence of the team. Qualifications
Minimum: Majored in Computer Vision, Pattern Recognition or Applied Mathematics, with more than 5 years of experience in algorithm R&D. Familiar with the technical principles, advantages and disadvantages of commercial solutions such as ARKit Hand Tracking and Quest Hand Tracking. Proficient in PyTorch framework and QNN deployment ecosystem, with practical experience in TensorRT end-side optimization. Preferred: Experience developing the core algorithm of HandTracking for XR products such as Apple Vision Pro, Meta Reality Labs, and Magic Leap. Preferred: Published papers on gesture tracking in top conferences such as CVPR/ICCV/SIGGRAPH. Compensation
The base salary range for this position in the selected city is $208,800 - $438,000 annually. Benefits
Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). About Pico
Founded in April 2015, Pico is a VR company committed to developing immersive and interactive VR experiences for people around the world. Pico also provides tailor-made solutions for our enterprise clients in the fields of education and healthcare.
#J-18808-Ljbffr