Huawei Canada has an immediate permanent opening for a full-time permanent Senior Graphics AI/ML Research Engineer.
About the Team:
Established in 2012, the Central Media Technology Institute (CMTI) is Huawei's center for media technology innovation and engineering, enhancing the technical competitiveness of media products. Sitting within CMTI, the Graphics Technology Lab focuses on research and breakthroughs in photography, audio, video, computer graphics, XR, and codec standards to maintain the company's leadership in media technology. Our R&D team comprises skilled CG algorithm experts, researchers, software architects, and standards specialists dedicated to building core capabilities for an improved graphics experience.
About the Job:
Conduct advanced research and engineering on AI-based rendering techniques including but not limited to Neural Rendering acceleration, Neural material representation, Neural Texture Compression, etc.
Transfer the results of the advanced research on AI/CG solutions to solve real-world problems, and land them in various Huawei products.
Provide expert opinions on relevant fields by summarizing research findings in high-quality papers or patents.
What you’ll bring to the team:
M.S. or Ph.D. in computer science or related fields with a focus on computer graphics, computer vision or machine learning.
Solid background in machine learning, and deep learning, e.g., DNN, GAN, ViT, and Diffusion techniques.
Experienced in neural representation/rendering including but not limited to NerF, Gaussian Splatting, neural rendering, procedural generation, SVBRDF, etc.
Experienced in Python, PyTorch, TensorFlow, etc. and a track record of translating ideas into research prototypes quickly.
Published Papers at relevant conferences or Journals such as SIGGRAPH, SIGGRAPH ASIAN, Eurographics, TOG, CVPR, ICCV, ECCV, TPAMI, etc.
Experienced programming skills on shading languages, e.g., glsl, hlsl, etc.
Experienced in building large-scale machine learning solutions for general computer vision/graphics topics including model design, data collection/augmentation, evaluation, etc.
The base salary for this position ranges from $121,000 to $230,000 depending on education, experience and demonstrated expertise.
Yearly based
Vancouver, British Columbia, Canada