Artificial Intelligence for Video Compression - Research Scientist

Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms allowing improved video compression. Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference papers and presentations, and journal publications, etc. Developed innovative artificial intelligence/machine learning algorithms preferably related to data compression or computer vision. Knowledge of the theory, algorithms, and techniques used in video and image coding. Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit. Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications. Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch. Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals. PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields. 1+ years of experience with programming language such as C, C++, MATLAB, etc. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.