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As a Color Imaging AI Research Engineer , you will research and develop AI based processing blocks and solutions for full pipeline transferring camera sensor captured photons into beautiful color images and video. Your contribution is going to be across the full lifecycle of mobile imaging solutions from data preparation and pipeline design to neural network development and image quality evaluation. You will lead the design and application of deep learning models, including vision-language, generative, and color mapping approaches, to address complex challenges in Huawei smartphone camera systems. 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 color and spectral experts. This will include learning from and working with world class leading competence on mobile imaging sensors, spectral sensing and emerging novel photon capturing solutions. You will develop related image and video processing algorithms, help define problems, agree on clear performance metrics, and deliver solutions that perform reliably on real-world data. Job Descriptions: Research and develop AI models for computational photography, image/video enhancement, color processing, ISP pipeline algorithms, spanning architectures such as vision-language models, diffusion image/video transformer models, etc. Identify data requirements, guide collection and annotation efforts, and build high-quality synthetic data creation pipeline that enable reliable model training Identify model failure cases and develop targeted solutions to improve performance in critical real-world scenarios First implement research ideas, prototyping in Pytorch or Tensorflow, and then continue with NPU compatible model optimization for rapid integration into Huawei devices Partner with other algorithm and hardware imaging teams to define key problems and deliver effective solutions Stay on top of the latest AI algorithms and imaging technologies by proactively exploring the latest and greatest in the field, and refine those towards practical solutions for mobile imaging use cases Research, design and implement new color and spectral imaging algorithms for reaching the perceptual targets Qualifications and detailed requirements: PhD or MSc studying towards PhD in computer vision, machine learning, signal/image processing, or associated discipline Deep understanding of the theory behind the machine learning, deep learning methods and imaging technologies. Proven ability to build, train, fine-tune and assess deep learning models for vision tasks such generative AI, image/video restoration, 3D-vision and multimodal learning etc. Strong competency in Python and deep learning libraries like Pytorch and Tensorflow, experience in ONNX and NPU-compatible model optimization is a plus Familiar with camera ISP, mobile imaging color processing algorithms and traditional image processing algorithms Ability to navigate and innovate in rapidly evolving technical landscapes with ambitious and often ambiguous goals. Basic understanding of perceptual image quality, human visual system color processing, and chromatic adaptation mechanisms Big advantage for contestants from international competitions in computer science, mathematics, or physics (e.g. IOI, IMO, ICPC, IPhO, IChO) Other Relevant Skills: Fluent in English, both written and spoken Good communication skills to brainstorm new ideas with a team and to report research findings and results clearly Ability to communicate with multi-cultural and multi-site teams and perform effective team work Excellent ability to learn and address existing and emerging mobile imaging related challenges and solutions Outstanding problem-solving skills Contract Type : This is a full-time consultant position, the co