ByteDance

3 hours ago

AI Algorithm Expert - Hand Tracking, PICO - San Jose

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Develop high-precision, low-latency hand-tracking algorithms for XR using computer vision, deep learning, SLAM, 3D reconstruction, and multi-sensor fusion. Build robust 3D gesture pose estimation models for challenging conditions, and optimize real-time on-device inference on mobile XR headsets for millimeter-level accuracy. Lead multimodal interaction algorithm frameworks and support technical impact through patents and publications.

Location: San Jose

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead development of high-precision, low-latency hand-tracking algorithms in XR, including monocular/multiple vision and multi-sensor fusion.
•Build robust 3D gesture pose estimation models for extreme scenarios such as occlusion, fast motion, and complex illumination.
•Optimize real-time inference performance on a mobile XR headset to achieve millimeter-level tracking accuracy.
•Lead construction of multimodal machine learning interaction frameworks (hand + eye movement + peripheral device) for natural XR interaction patterns.
•Promote patent layout and publication of papers in accredited conferences (CVPR/ICCV/SIGGRAPH) to enhance technical influence.

Key Requirements

•Majored in Computer Vision, Pattern Recognition, or Applied Mathematics, with more than 5 years of experience in algorithm R&D.
•Familiar with technical principles and tradeoffs of commercial solutions such as ARKit Hand Tracking and Quest Hand Tracking.
•Proficient in the PyTorch framework and QNN deployment ecosystem, with practical experience optimizing with TensorRT end-side.
•Experience developing core HandTracking algorithms for XR products.
•Published papers on gesture tracking in accredited conferences such as CVPR/ICCV/SIGGRAPH.

Experience:5+ years

Education:High School in Computer Vision, Pattern Recognition or Applied Mathematics

Skills:ResearchOptimizationAlgorithm R&D

Tech Stack:PyTorchQNNTensorRTARKitQuest Hand Tracking3D reconstructionSLAMComputer visionDeep learningMulti-sensor fusion

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

3 hours ago

AI Algorithm Expert - Hand Tracking, PICO - San Jose

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Jose

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead development of high-precision, low-latency hand-tracking algorithms in XR, including monocular/multiple vision and multi-sensor fusion.
•Build robust 3D gesture pose estimation models for extreme scenarios such as occlusion, fast motion, and complex illumination.
•Optimize real-time inference performance on a mobile XR headset to achieve millimeter-level tracking accuracy.
•Lead construction of multimodal machine learning interaction frameworks (hand + eye movement + peripheral device) for natural XR interaction patterns.
•Promote patent layout and publication of papers in accredited conferences (CVPR/ICCV/SIGGRAPH) to enhance technical influence.

Key Requirements

•Majored in Computer Vision, Pattern Recognition, or Applied Mathematics, with more than 5 years of experience in algorithm R&D.
•Familiar with technical principles and tradeoffs of commercial solutions such as ARKit Hand Tracking and Quest Hand Tracking.
•Proficient in the PyTorch framework and QNN deployment ecosystem, with practical experience optimizing with TensorRT end-side.
•Experience developing core HandTracking algorithms for XR products.
•Published papers on gesture tracking in accredited conferences such as CVPR/ICCV/SIGGRAPH.

Experience:5+ years

Education:High School in Computer Vision, Pattern Recognition or Applied Mathematics

Skills:ResearchOptimizationAlgorithm R&D

Tech Stack:PyTorchQNNTensorRTARKitQuest Hand Tracking3D reconstructionSLAMComputer visionDeep learningMulti-sensor fusion

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn