Co-op Researcher

2 days ago

Vancouver, Canada Huawei Technologies Canada Co., Ltd. Full time

Job descriptionHuawei 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&DTransfer the results of the advanced research on AI/CG solutions to solve real-world problems, and land them in various Huawei productsProvide expert opinions on relevant fields by summarizing research findings in high-quality papers or patentsThe target annual compensation (based on 2080 hours per year) ranges from $88,000 to $104,000 depending on education, experience and demonstrated expertise.Job requirementsAbout 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 learningSolid background in machine learning and deep learning, e.g., DNN, GAN, ViT, and Diffusion techniquesExperienced 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 quicklyPublished Papers at relevant conferences or Journals such as SIGGRAPH, SIGGRAPH ASIAN, Eurographics, TOG, CVPR, ICCV, ECCV, TPAMI, etc. is an assetExperience 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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