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Posted 5 months ago

Intern Engineer - AI

@ Huawei Technologies Canada Co., Ltd.

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Vancouver, British Columbia

On-siteInternship
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Overview

Huawei Technologies Canada is hiring an Intern Engineer for a 4-month internship in its Central Media Technology Institute, working on AI and computer graphics research. The role covers VFX generation and procedural shape, texture and VFX generation, transferring results into Huawei products, and publishing findings in papers or patents. Target total annual compensation is stated as $58,000 to $104,000 based on 2,080 hours per year.

Responsibilities:

  • Research and engineer VFX generation and procedural shape, texture and VFX generation
  • Transfer AI and CG research results into Huawei products
  • Summarize research findings in high-quality papers or patents

Requirements summary:

  • Bachelor's degree or higher in computer science or related field
  • Background in machine learning and deep learning
  • Experience with dense estimation, procedural generation, SVBRDF, super-resolution, inpainting or neural rendering
  • Experience with Python, PyTorch or TensorFlow

Tools & skills

PythonPyTorchTensorFlow
Source and dates

Employer career site / ATS feed · recruitee

Employer posting date
2026-06-22
First seen by our source
2026-10-10
Source record updated
2026-11-07

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentSoftware development
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required)
Fields of studyComputer science, Computer graphics, Computer vision, Machine learning

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Huawei Technologies Canada Co., Ltd.

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

People associated on LinkedIn
142,744
Other recorded names
  • Huawei Finland R&D
  • Huawei
  • Huawei Europe
  • Huawei Denmark
  • Huawei Norway
  • Huawei
  • Huawei Serbia&Hungary Rep Office
  • Huawei Telekomünikasyon Dış Ticaret Ltd
  • Huawei Technologies Italia
  • Huawei Switzerland
View all jobs Website
FieldValue
IndustryTelecommunications
Company size10001+
HeadquartersShenzhen, Guangdong
Open jobs on Jobsy187
LinkedInView page
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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