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Huawei Canada

Co-op Researcher

Reposted 22 Days Ago
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In-Office
Vancouver, BC, CAN
Internship
In-Office
Vancouver, BC, CAN
Internship
The role involves conducting research in graphics technology, applying machine learning solutions in real-world applications, and publishing high-quality papers or patents.
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Huawei Canada has an immediate co-op opening for a Researcher.

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 graphics domain to Support R&D

  • 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

The target annual compensation (based on 2080 hours per year) ranges from $88,000 to $104,000 depending on education, experience and demonstrated expertise.

About the ideal candidate:

  • M.S. or Ph.D. student 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 dense estimation including but not limited to: SVBRDF, super-resolution, inpainting, neural rendering, 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. is an asset

  • Experience in building large scale machine learning solutions for general computer vision/graphics topics including model design, data collection/augmentation, evaluation, etc. is an asset

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