Senior AI Research Engineer

Reposted 13 Days Ago
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Vancouver, BC, CAN
In-Office
121K-230K Annually
Senior level
Information Technology • Other
The Role
Lead advanced AI research projects focused on computer graphics and rendering techniques, mentoring junior engineers and translating ideas into research prototypes.
Summary Generated by Built In

Huawei Canada has an immediate permanent opening for a full-time permanent Senior AI 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:

  • Develop and lead projects, team ideas, and mentor junior engineers.

  • 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 advanced research AI/CG solutions to solving real-world problems that will be integrated in various Huawei products.

  • Provide expert opinions on relevant fields by summarizing research findings in high-quality papers or patents.

The total compensation for this position ranges from $121,000 to $230,000 depending on education, experience and demonstrated expertise.

What you’ll bring to the team:

  • Solid industry engineering level and experience over 5 years.

  • Industry work experience in CG related field over 3 years with hands-on development.

  • MSc / Ph.D. in computer science or related fields with a focus on applied ML to computer graphics or computer vision.

  • Extensive Background in machine learning and deep learning, e.g., DNN, GAN, ViT, and Diffusion techniques.

  • Experienced in neural representation/rendering such as 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, Eurographics, TOG, CVPR, ICCV, ECCV, TPAMI.

  • 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.

Skills Required

  • Solid industry engineering level and experience over 5 years
  • Industry work experience in CG related field over 3 years with hands-on development
  • MSc / Ph.D. in computer science or related fields with a focus on applied ML to computer graphics or computer vision
  • Extensive Background in machine learning and deep learning, e.g., DNN, GAN, ViT, and Diffusion techniques
  • Experienced in neural representation/rendering such as NerF, Gaussian Splatting, neural rendering, procedural generation, SVBRDF
  • Published Papers at relevant conferences or Journals such as SIGGRAPH, Eurographics, TOG, CVPR, ICCV, ECCV, TPAMI
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The Company
HQ: Shenzhen
1,770 Employees
Year Founded: 1987

What We Do

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.

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