Investigate and apply novel algorithms related to the generation/editing/restoration of video, sound, and/or 3D visual geometry (including 3D human motion), targeting a publication in a top-tier conference/journal.
Be self-motivated and implement innovative ideas with research, coding, and problem-solving skills.
Supported in efforts by internal scientists and engineers.
Requirements
Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields.
Proven knowledge/expertise related to generative AI applications such as deep generative modeling, computer vision, audio signal processing.
Analytical and programming skills in deep learning with machine learning tools (PyTorch, etc.).
Experience in research communities, including having published papers at conferences, e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, ICML, etc.
Strong communication and presentation skills.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.