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# Artificial Intelligence for Video Compression - Research Scientist

- **Company:** Qualcomm
- **Location:** München, Germany (Remote available)
- **Salary:** €158,400.0 - €237,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Computer Vision, C++ (Programming Language), Data Compression, Information Systems, Computer Programming, Computer Engineering, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, High Efficiency Video Coding (HEVC), Audio Codec, Generative AI, Information Technology
- **Published:** July 23, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=0ce72312c662ddcd

## About the Role

* 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., * 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., 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.

## Description

* 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.


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