Camera and Computer Vision Development Intern (PICO) - 2026 Summer (PhD)

Job Description:

About Team: Founded in 2012, ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies. With a suite of more than a dozen products, including TikTok, Douyin, Toutiao, Helo and Resso, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages. As a world-renowned VR/AR brand with independent innovation and R&D capabilities, Pico has been at the forefront of the consumer electronic market. We are looking for creative and passionate optical engineer interns to join us in our optics system team. You will be working with top-notch engineers and scientists to explore and define the frontier of technology for the future of AR/VR. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities - Explore groundbreaking hardware and software technologies to significantly enhance AI perception capabilities. - Conduct image acquisition, analysis, and algorithm development. - Develop and train machine vision models

Candidate Requirements:

Minimum Qualifications - Currently Pursuing PhD degree in Computer Science, Optical Engineering, Electrical Engineering, Physics, or a related technical field (or equivalent experience). - Strong programming skills with experience in computer vision. - Excellent communication skills; highly self-driven with strong teamwork abilities. Preferred Qualifications - Hardware development experiences in cameras, lidars, imaging technologies and systems. - Research experience in the following areas: Machine Vision, Image Quality Analysis, Visual Optics, or VLM (Vision-Language Models)/LLM (Large Language Models)