Research Intern, Multimodal Learning for Next Generation Applications

Job Description:                                                                                     

Candidate will work with a diverse group of researchers, engineers to explore, innovate, and design novel/SOTA new multimodal 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, innovative system solutions, and open-source prototypes; generating high-value IPRs/patents; and publishing our latest findings in well-known conferences and journals.

 Requirements:                                                                                      

• Proven hands-on experiences with SOTA machine learning algorithms, especially with applications and fine tuning of LLMs and LVMs, and familiarity with ML implementation environments and platforms such as PyTorch and/or Tensorflow.
• Deep knowledge and hands-on experience in computer vision and computer graphics is a plus.
• Strong programming skills in python or C / C++ for Windows and/or Linux is required.
• Experience in working with open-source software frameworks is a plus
• Good communication skills, both verbal and written
• Ph.D or M.S. in Computer Science / Electrical Engineering, or related technical disciplines.