3D Vision Algorithm Engineer Graduate; Hand Tracking PHD

Position: 3D Vision Algorithm Engineer Graduate (Hand Tracking) - 2026 Start (PHD)
The team at Pico is dedicated to developing AI technology in fields like 3D data assets and digital content consumption. We concentrate on acquiring, processing, and AI generation of different 3D digital content. Our team values teamwork, innovative ideas, and ongoing learning. We invite you to join us and make a positive impact on the company's growth. We are looking for talented individuals to join our team in 2026.

As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at Byte Dance Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Responsibilities
1. Responsible for the design, development, and optimization of visual algorithms related to 3D hand tracking to meet the hand control requirements of XR devices.
2. Optimize the performance of the hand recognition algorithm in dynamic environments, reducing the impact of lighting and background interference on recognition results.
3. Optimize the real-time inference performance of the algorithm on mobile XR headsets to achieve millimeter-level tracking accuracy; 4. R&D of micro hand tracking&gesture recognition algorithms
5. Promote patent layout and publication of papers in top-tier conferences (CVPR/ICCV/SIGGRAPH, etc.) to enhance the team's technological influence.

Minimum Qualifications 1. Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field
2. Familiar with the technical principles, advantages, and disadvantages of commercial solutions such as ARKit Hand Tracking and Quest Hand Tracking;
3. Proficient in the PyTorch framework and QNN deployment ecosystem, with practical experience in Tensor

RT edge-side optimization;

Preferred Qualifications 1. Have experience in developing the core algorithm for Hand Tracking in XR products;
2. Published papers related to gesture tracking in top conferences such as CVPR, ICCV, SIGGRAPH, etc. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: