Research Scientist Graduate (Computational Imaging- Pico)- 2026 Start (PHD)

About Team:PICO's imaging systems & human engineering team is looking for a passionate and versatile imaging expert to work on next generation imaging algorithms that will deliver the top visual experience across PICO products, from camera to display. The ideal candidate specializes in imaging algorithm development with a deep understanding of camera and display optical and digital imaging chains, and will play a key role in delivering camera capture and rendering to display experience with the best image quality and efficiency. This role will also contribute to the definition and execution of technological and productization roadmap in imaging to shape the future of imaging technologies and their applications in VR/MR/AR products.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with 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.Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Conduct cutting edge research and development of next generation human perception motivated computational imaging systems, including camera and rendering to display systems of XR products.
• Apply deep learning knowledge and software engineering skills to computational photography and computational display challenges and push the limit of image quality and efficiency.
• Lead camera and display imaging systems new feature incubation, productization, and system specification, through software prototyping, simulation, hardware software co-design, and image quality characterization.
• Drive cross-functional efforts, including but not limited to the areas of optics, module, software, silicon IP, etc. to push the limit of system image quality and efficiency of complex imaging systems in various engineering constraints such as real time and deferred processing scenarios.