Huawei Technologies Canada Co., Ltd.

Intern Researcher - AI

Vancouver, British Columbia, Canada · Intern · Internship

Sponsorship not specified$58k-$104kDetected 30 days ago

PythonMachine LearningDeep LearningTensorFlowPyTorchComputer VisionPhotographyAR/VRResearchLeadership

About the role

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.
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.

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.
About the job: Conduct advanced research and engineering on VFX generation, procedural Shape/Texture/VFX generation to Support R&D.

Experienced in Python, PyTorch, TensorFlow, etc. and a track record of translating ideas into research prototypes quickly

Conduct advanced research and engineering on VFX generation, procedural Shape/Texture/VFX generation 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 total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate: Bachelors of Science or higher in computer science or related fields with a focus on computer graphics, computer vision or machine learning.

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.
The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
Backgrounds in machine learning and deep learning, e.g., Symbolic regression, DNN, GAN, ViT, and Diffusion techniques Experienced on dense estimation including but not limited to procedural generation SVBRDF, super-resolution, inpainting, neural rendering, etc.

This listing is sourced directly from Huawei Technologies Canada Co., Ltd.'s careers page and normalized into a canonical job model.