ByteDance
AI Algorithm Expert - Hand Tracking, Pico- San Jose
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- More than 5 years of algorithm R&D experience.
- Education
- Majored in Computer Vision, Pattern Recognition, or Applied Mathematics.
About the job
Lead development and deployment of accurate, low-latency hand-tracking and multimodal interaction algorithms for XR headsets.
What you'll do
- Develop hand-tracking and 3D gesture-pose estimation algorithms for challenging XR conditions.
- Optimize real-time algorithm inference on mobile XR headsets and build a multimodal interaction framework using hand, eye, and peripheral-device inputs.
- Promote patent development and publication of research papers at accredited conferences.
What they ask for
- Major in Computer Vision, Pattern Recognition, or Applied Mathematics.
- Understand the principles, strengths, and weaknesses of commercial solutions such as ARKit Hand Tracking and Quest Hand Tracking.
- Be proficient in PyTorch and the QNN deployment ecosystem, with practical TensorRT end-side optimization experience.
Nice to have
- Experience developing core HandTracking algorithms for XR products.
- Published gesture-tracking papers at accredited conferences such as CVPR, ICCV, or SIGGRAPH.
Tools
PyTorch, QNN, TensorRT, ARKit Hand Tracking, Quest Hand Tracking, CVPR, ICCV, SIGGRAPH
AI focus
Develop hand-tracking, 3D gesture-pose estimation, and multimodal machine-learning interaction algorithms for XR, including real-time inference optimization.
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