ML Research Scientist — Video Compression & Codecs

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

Job summary

Qualcomm in San Diego is looking for a Video Compression Research Engineer to develop cutting-edge algorithms and systems focused on video compression. Ideal candidates will possess a strong background in machine learning, video processing, and excellent programming skills.

The job requires experience with video compression standards and a Ph.D. or M.S. in a relevant field. A competitive pay range of $158,400.00 – $237,600.00 along with a variety of benefits is offered to successful applicants.

Qualifications

• Developed innovative AI/machine-learning algorithms for data compression.
• Knowledge of video and image coding theory and techniques.
• Experience with programming languages C, C++, and MATLAB.

Responsibilities

• Develop neural-network-based algorithms for video compression.
• Represent Qualcomm in standardization forums.
• Document and present algorithms through publications.

Skills

Artificial intelligence/machine-learning algorithms

Video compression standards (VVC/H.266, HEVC/H.265)

Programming skills (Python, C/C++)

Machine-learning frameworks (PyTorch)

Strong communication skills

Education

Ph.D. or M.S. in Electrical Engineering, Computer Science, Physics, Mathematics

Bachelor's degree in Computer Science, Engineering, Information Systems

Job description

Qualcomm in San Diego is looking for a Video Compression Research Engineer to develop cutting-edge algorithms and systems focused on video compression. Ideal candidates will possess a strong background in machine learning, video processing, and excellent programming skills.

The job requires experience with video compression standards and a Ph.D. or M.S. in a relevant field. A competitive pay range of $158,400.00 – $237,600.00 along with a variety of benefits is offered to successful applicants.