Jobs in Richmond

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Intern Engineer - AI

4321 Still Creek Drive, Vancouver, BC, V5C 6S7, Canada

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. · Internship

Within 25 km of Richmond · About 12.5 km from the city centre

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Job details

Pay: 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.
Job type: Internship
Posted: Jun 22, 2026

Original job description

Huawei Canada has an immediate 4-month internship opening for an Intern 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 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.
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.
Experienced in Python, PyTorch, TensorFlow, etc. and a track record of translating ideas into research prototypes quickly

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More about this job

Responsibilities

Conduct advanced research and engineering on VFX and procedural generation to support R&D initiatives. Transfer AI and CG research results into practical solutions for Huawei products and document findings in papers or patents.

Requirements

Candidates must hold a Bachelor of Science or higher in computer science or a related field with a focus on graphics, vision, or machine learning. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is required.

Skills

Computer Graphics
Computer Vision
Machine Learning
Deep Learning
Symbolic Regression
DNN
GAN
ViT
Diffusion Techniques
Procedural Generation
SVBRDF
Super-resolution
Inpainting
Neural Rendering
Python
PyTorch

Visa sponsorship

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Keywords

AI
Computer Graphics
Computer Vision
Machine Learning
Deep Learning
VFX
Procedural Generation
Symbolic Regression
DNN
GAN
ViT
Diffusion Techniques
SVBRDF
Super-resolution
Inpainting
Neural Rendering
Python
PyTorch
TensorFlow
R&D
Research
Engineering
Algorithm
Software Architecture
Codec Standards
XR

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