Visual Perception Algorithm Engineer Graduate (Human Body Perception Direction) - 2026 Start (PHD)

As a technology brand with independent innovation and R&D capabilities, PICO is committed to becoming a leading XR platform, helping developers and creators achieve success, and jointly creating a better life experience for global consumers. It has pioneered the expansion of virtual reality into multiple fields, bringing new experiences to consumer-grade scenarios such as sports, video, and entertainment, and is widely used in commercial scenarios such as education, medical care, and corporate training, providing diversified VR solutions for global enterprise users.

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 ByteDance

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

• Be responsible for the R&D of real-time 2D/3D human body perception algorithms in XR scenarios, covering but not limited to tasks such as 3D human pose estimation, semantic segmentation, and human body reconstruction from the ego-exo centric perspective, and completing the delivery of relevant algorithms.
• Be responsible for the R&D of human body perception multi-modal models, including tasks such as data solutions and large-model optimization solutions, explore the key points of cutting-edge technologies in the industry, and promote the application of relevant ego-centric human perception technologies in XR scenarios.

Minimum Qualifications

• Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field
• Be proficient in C/C++ or Python, and have excellent algorithm and programming skills.
• Be proficient in the basic principles of deep learning and frameworks such as PyTorch, and have experience in training and optimizing 2D/3D vision models, such as detection, segmentation, key-point, and tracking models.
• Have excellent scientific research capabilities and have published relevant papers in top-tier computer vision conferences or journals.
• Have strong self-motivation for knowledge, and keep up with and learn the latest technologies in the industry.

Preferred Qualifications

• Have practical project experience related to 3D digital humans.
• Be familiar with common multi-modal large model training and optimization strategies and have practical experience in relevant fields.