Color Imaging AI Research Engineer

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

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