Intern - AI-Based Image and Video Compression (m/f/d)

Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

The Audiovisual Technology Lab in Huawei’s German Research Center in Munich is responsible for advanced technology research, system solution/ algorithm/ software architecture design and strategic technical planning. The team goal is to enable ordinary consumers to create masterpieces. This Team will play a leading role in researching new audio and video technology and delivering specific solutions for next generation products including mobile devices, cloud services, IOT, etc. You will contribute to these activities being inserted into an international and experienced team of researchers.

Join us as an

Intern: AI-Based Image and Video Compression (m/f/d)

Your mission

Deep-learning-based image and video compression methods gain more and more importance. The first fully end-to-end trained image coder JPEG-AI was recently standardized and there are active explorations to employ AI-based tools, including end-to-end coders in the next generation of video coders. In your position as intern in our group you would actively participate in bringing AI-based technology to current international video coder development.

Possible responsibilities include

• Training end-to-end image and video coders
• Designing network architectures tailored to the requirements of traditional image and video coders
• Implementing AI-based coding methods into current reference software

Your areas of expertise

• You are enrolled as a master student in majors including but not limited to the following: electrical engineering, information technology, computer science, mathematics or physics
• Good software skills - Python and C/C++ required
• You have strong interest in topics related to image or video coding, video processing and artificial intelligence
• You enjoy working in a team and you like to collaborate with researchers to develop creative solutions
• Understanding basic principle of CNN structure and training (Tensorflow, Pytorch, Keras) in the field of image and video processing
• You are fluent in English (written and spoken), German language is a plus
• Experience in conventional video codec (e.g. HEVC, VVC) is a plus
• Familiar with develop tools such as git, visual studio code, ffmpeg, etc. is a plus
• Must be eligible to work in the European Union to be considered for this position

By applying to this position, you agree with our RECRUITMENT PRIVACY STATEMENT. You can read in full our recruitment privacy statement via the link below.

http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html

Your rewards of working here

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better-Connected World.