Hiring: Artificial Intelligence for Video Compression - Research Scientist Company: Qualcomm Location: San Diego, CA Job Posted Time: 2026-09-16 11:21:47 Employment Type: Hybrid Target Skills & Keywords : C, C++, Computer Vision, Machine Learning, PyTorch, Python, R About the job Experience: •4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Required Skills: •Contribute to the conception, development, implementation, and optimization of novel learning-based video compression algorithms, including neural video coding, learned motion representation, and entropy modeling. •Evaluate and improve neural and hybrid compression systems using state-of-the-art machine learning techniques and rate-distortion optimization. •Represent Qualcomm in related standardization forums including JVET, MPEG Video, and ITU-T/VCEG. •Document and present new algorithms and implementations through standards contributions, patent applications, conference papers, presentations, and journal publications. •Developed innovative machine learning algorithms, preferably related to learned image/video compression, computer vision, or generative AI. •Knowledge of the theory, algorithms, and techniques used in video coding, rate-distortion optimization, and neural compression. •Track record of successful research accomplishments demonstrated through publications at leading conferences and/or patent applications. •Excellent programming skills including Python and C/C++, combined with experience using machine learning frameworks such as PyTorch. Qualifications: •PhD or Master's degree in Electrical Engineering, Computer Science, Machine Learning, Applied Mathematics, or related fields. •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. •PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!