This role involves working closely with multiple discipline colleagues within the team and camera technology innovation laboratory, including imaging algorithms, AI, camera sensor HW, and colour and spectral experts.

Job Descriptions:

• Research and develop AI models for computational photography, image/video enhancement, colour processing, ISP pipeline algorithms, spanning architectures such as vision-language models, diffusion image/video transformer models, etc.
• Adopt emerging AI breakthroughs into high-impact innovations for mobile imaging
• Implement research ideas in Pytorch or Tensorflow and continue with NPU compatible model optimization to enable a rapid integration into Huawei devices
• Architect roadmaps and lead the execution of complex integration projects to enhance the on-device vision pipeline
• Identify data requirements, guide collection and annotation efforts, and build high-quality synthetic data creation pipeline that enables reliable model training
• Identify model failure cases and develop targeted solutions to improve performance in critical real-world scenarios
• Partner with other algorithm and hardware imaging teams to define key problems and deliver effective embedded AI solutions for joint HW+SW architectures

Qualifications and detailed requirements:

• PhD or MSc in the field of computer vision, machine learning, signal/image processing, or associated discipline, with years-long track record of developing AI solutions for mobile imaging platforms and products
• Deep understanding of the theory behind the machine learning, deep learning methods and imaging technologies.

Other Relevant Skills:

• Fluent in English, both written and spoken
• Good communication skills for brainstorming new ideas with a team, mentoring other team members on own core competence area, and reporting research results clearly
• Able to work effectively with multi-cultural and multi-site teams, performing both collaborative team work and independent key delivery tasks, while adapting to changing requirements and constraints to ensure successful delivery
• Excellent ability to learn and address existing and emerging mobile imaging related challenges and solutions
• Outstanding problem-solving skills