Artificial Intelligence for Video Compression - Research Scientist San Diego, California, Unite[...]

Qualcomm; San Diego (CA); On-site; USD 158,400 - 237,600; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego seeks a Video Compression Research Engineer focusing on learning-based video compression.

You will work within a world-renowned team to develop neural video coding technologies and contribute to future standards. The role involves contributing to conception, development, and optimization of neural compression algorithms, evaluating models with rate-distortion techniques, and engaging with standardization forums.

Qualifications

• PhD or Masters in Electrical Engineering, Computer Science, ML or related fields.
• Experience with learning-based video compression or neural compression research.
• Strong programming skills in Python/C++, with ML frameworks.

Responsibilities

• Contribute to conception, development, implementation, and optimization of learning-based video compression algorithms.
• Evaluate and improve neural and hybrid compression systems using state-of-the-art ML techniques and rate-distortion optimization.
• Represent Qualcomm in standardization forums (JVET, MPEG, ITU-T/VCEG) and contribute to publications.
• Document and present new algorithms and implementations through standards contributions and papers.

Skills

Neural video coding

Machine learning

Python

C/C++

PyTorch

Video coding standards

Rate-distortion optimization

Education

PhD

Master's degree

Bachelor's degree

Tools

Python

C/C++

PyTorch

Job description

## Artificial Intelligence for Video Compression - Research ScientistSan Diego, California, United States of AmericaApply NowFind out how well you match with this jobJob ID3078912## **Company:**Qualcomm Technologies, Inc.## **Job Area:**Engineering Group, Engineering Group > Machine Learning Engineering**General Summary:**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.**Minimum Qualifications:**• 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.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 [e-mail] 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).**To all Staffing and Recruiting Agencies**: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.**EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.**Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.**Pay range** **and Other Compensation & Benefits****:**$158,400.00 - $237,600.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.If you would like more information about this role, please contact Qualcomm Careers.