ByteDance
Applied Vision Scientist, XR Perception - PICO Lab (San Jose)
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- 5+ years in related fields, inclusive of graduate school research experience.
- Education
- Advanced degree in Vision Science, Perceptual Psychology, Computational Neuroscience, Optometry, Human Factors, Imaging Science, Color Science, Optics, Computer Science, or a related field.
About the job
Develops perception-driven computational camera and display systems for PICO XR products by defining perceptual metrics, conducting user studies, and building models, prototypes, and features.
What you'll do
- Define perceptual specifications and metrics for visual quality, comfort, and human performance, and incorporate findings into system architecture and product requirements.
- Design, conduct, and analyze psychophysics experiments and user studies to evaluate perception and inform product decisions.
- Develop XR features, models, simulation platforms, and prototypes using multimodal sensor and biometric data, and support integration and validation.
What they ask for
- Advanced degree in a listed or related field.
- Deep understanding of the human visual system, visual perception, and image quality concepts; familiarity with psychophysics methods and experiment design.
- Strong background in data analysis and statistical theory, including rigorous analysis of behavioral and perceptual data.
- Computational modeling skills; experience with large, complex datasets and data pipelines, and proficiency in one or more of Python, MATLAB, or C++.
Nice to have
- Experience with eye tracking, EEG/EOG, or other biosensing technologies; XR products; or AI agents and platforms.
- Experience productizing research, consumer electronics, or expertise in visual comfort, spatio-temporal vision, visual optics, binocular vision, or visual neuroscience.
Tools
Python, MATLAB, C++, eye tracking, EEG, EOG
AI focus
Experience with AI agents and platforms or integrating AI/ML tools into research and development workflows is preferred.
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