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Huawei Canada

Co-op Researcher - Machine Learning and Computer Vision

  • Seen live on Huawei Canada's site yesterday
  • Intern / co-op
Pay
Not stated
Location
Markham, Ontario, Canada
Open for
13+ days
First seen
Oct 22, 2026
Apply on Huawei Canada's site (opens in a new tab)

Posting record

No flags

Open 13+ days

The posting's record, oldest first
  1. Already up when Ghostless started watching Huawei Canada
  2. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Huawei Canada, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Huawei Canada has an immediate 8-16-month Co-op opening for a Researcher role.

About the job

  • Research and develop state-of-the-art technology in computer vision and machine learning.
  • Work on various video / image understanding and synthesis tasks in using cutting-edge deep learning and computer vision techniques.
  • Take into consideration of the mobile computing constraints for the optimization of algorithms and machine learning models.

About the ideal candidate

  • Experience with applying machine learning or computer vision to real-world problems.
  • Able to grasp basic Computer Vision concepts and techniques.
  • Coding in Python, PyTorch / TensorFlow (at least one)
  • OpenCV, mobile app development, photo editing (e.g., Photoshop), image/video generation AI (e.g., Stable Diffusion, Flux) is an asset
  • Academic research experience for example, participation in paper publishing is an asset

Something wrong with this posting?