Research Intern, multimodal learning for Computer Vision and Graphics

Candidate will work with a diverse group of researchers, engineers to explore, innovate, and design novel/SOTA new machine learning solutions and algorithms for the next generation consumer applications, pushing forward the research and development of cutting-edge machine learning, computer vision and computer graphics technologies. The ideal candidate is a highly motivated and creative individual with broad knowledge in SOTA machine learning, computer vision, and computer graphics, and with research and publication experiences in the fields. The candidate will play a significant role in developing novel algorithms and publishing latest findings in well-known conferences and journals; and generating high-value IPRs/patents.

Requirements:
•    Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related technical field.
•    Highly self-motivated and passionate about developing innovative technologies.
•    Demonstrated research experience in state-of-the-art computer vision, computer graphics, or machine learning, with a strong emphasis on multimodal learning or vision models.
•    Excellent written and verbal communication skills, supported by a strong publication record and a history of creative problem-solving.
•    Proficient in programming with Python and/or C/C++, with hands-on experience in machine learning frameworks such as PyTorch and/or TensorFlow.
•    Experience working with open-source software and contributing to open-source communities is a plus.