Works with a general understanding of competitive technologies in video compression. Works with a general understanding of competitive technologies in machine learning. Works to understand the system context in which new technologies will be used and the requirements that the technology must fulfill for success. Creates early-stage conceptual models that demonstrate feasibility. Develops and presents new algorithms and implementations in various forms, including patent applications, conference and journal publications, presentations, and technical white papers at various venues Ph.D. degree in electrical engineering, computer engineering, or computer science, or related engineering disciplines required. Minimum of 3 years of experience in developing algorithms for video coding and/or machine learning systems. Experience in developing algorithms for 3D graphics video compression or learning-based 3D visual computing is a plus. Solid research background in video or image coding and processing. In-depth knowledge in development, training, testing, and computing platforms for deep learning (DL) and statistical machine learning (ML). Solid programming experience in python/C/C++ applied to image/video coding/processing and experience with one or more deep learning frameworks (e.g., PyTorch and TensorFlow) is required. Track record of successful research accomplishments, published papers in top-tier conferences (DCC, ICIP, ICASSP, CVPR, ICCV, ECCV, etc.) or journals (TCSVT, TIP, TPAMI, etc.) and/or patent applications in the field of video coding and processing. Excellent written and verbal communication skills. You are a strong team player with the ability to work independently.
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