Artificial Intelligence for Video Compression - Research Scientist, Machine Learning Engineering

Qualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on Learning-Based Video Compression. You will join a world-renowned team of video compression experts developing next-generation neural video coding technologies and contributing to future video compression standards.

The ideal candidate will be a highly self-directed individual with strong creative and analytical skills, and a passion for machine learning, neural compression, and video coding. This role offers the opportunity to contribute to groundbreaking advances in neural video compression while collaborating with experts in machine learning, computer vision, multimedia systems, and video coding standards.

We are considering candidates with various levels of experience. We are flexible on location and open to hiring globally, with preferred locations in the USA, Germany, China, and the UK. Qualcomm may provide relocation support for qualified candidates who wish to relocate to one of these locations.

Responsibilities:

• 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.

Ideal candidate would have the skills/experience below:

• 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.
• Experience with video compression standards such as VVC/H.266, HEVC/H.265, AV1, or emerging neural video coding technologies.
• 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.
• Experience developing and evaluating machine learning models for compression, computer vision, or multimedia applications.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).