Artificial Intelligence for Video Compression Research Scientist

What you'll do

• Develop and optimize novel learning-based video compression algorithms including neural coding and entropy modeling.
• Evaluate and improve neural and hybrid compression systems using state-of-the-art machine learning techniques.
• Perform rate-distortion optimization for advanced video coding technologies.
• Represent the company in international standardization forums such as JVET, MPEG Video, and ITU-T/VCEG.
• Document new algorithms through patent applications, conference papers, and journal publications.
• Present research findings and technical implementations at industry conferences and internal meetings.
• Implement machine learning models using Python, C/C++, and frameworks like PyTorch.

What we're looking for

• A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field with 4+ years of relevant engineering experience.
• A Master's degree in Computer Science, Engineering, Information Systems, or a related field with 3+ years of relevant engineering experience.
• A PhD in Computer Science, Engineering, Information Systems, or a related field with 2+ years of relevant engineering experience.
• Experience developing and evaluating machine learning models for compression, computer vision, or multimedia applications.
• Proficiency in Python and C/C++ programming along with experience using PyTorch or similar machine learning frameworks.
• Knowledge of video coding theory, rate-distortion optimization, and neural compression techniques.
• Experience with video compression standards such as VVC/H.266, HEVC/H.265, AV1, or emerging neural technologies.
• A track record of research accomplishments through publications at leading conferences or patent applications.
• Developed innovative machine learning algorithms related to learned image/video compression, computer vision, or generative AI (preferred).