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Artificial Intelligence for Video Compression - Research Scientist

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

In short

Qualcomm ist auf der Suche nach einem Research Scientist mit Schwerpunkt auf lernbasierter Videokompression zur Weiterentwicklung von Videokompressionstechnologien. Sie werden an der Konzeption, Entwicklung und Implementierung neuartiger Algorithmen arbeiten und in relevanten Standardisierungsgremien vertreten.

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.

Requirements

  • 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.

Desired 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.

Benefits

  • Competitive annual discretionary bonus program
  • Opportunity for annual RSU grants
  • Highly competitive benefits package designed to support your success at work, at home, and at play
  • Relocation support for qualified candidates

Skills

PythonC++PyTorchMachine LearningComputer VisionVideo CodingAlgorithmsRate-Distortion OptimizationNeural Compression
#AI#Video Compression#Machine Learning#Research Scientist#Neural Networks#Deep Learning#Coding#Standards#R&D#Multimedia
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About Qualcomm

Enabling a world where everyone and everything can be intelligently connected.

Enabling a world where everyone and everything can be intelligently connected.\n\n

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Company

Qualcomm

Job Posted

4 days ago

Employment Type

Full Time

Work mode

On Site

Salary

US$162,000–243,000 · Negotiable

Experience Level

Mid-Senior

Locations

San Diego, United States of America

Qualification

Doctoral, Master, Bachelor, No Formal Education

Applicants

Be an early applicant