Posted 14 months ago
Co-op Researcher-Computer Vision and Machine Learning
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
Overview
Huawei Technologies Canada is offering an 8, 12 or 16-month co-op internship as an Assistant Researcher in its Noah's Ark lab. The role involves researching and developing computer vision and machine learning technology, including deep learning for image and video analysis, with attention to mobile computing constraints. The posting asks for current enrollment in a Bachelor's or Master's program in a technical field and strong C++ and Python skills.
Responsibilities:
- Research and develop computer vision and machine learning technology
- Analyze images and videos with deep learning techniques
- Optimize algorithms and models for mobile computing constraints
Requirements summary:
- Enrolled in a Bachelor's or Master's program in computer science, electrical engineering or a related field
- Internship experience with C++ and Python development
- Solid understanding of data structures and algorithms
- Experience applying machine learning or computer vision to real-world problems
- At least one deep learning framework such as TensorFlow or PyTorch
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2025-09-04
- 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
| Seniority | Entry level |
| Department | Research & science |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Education | Bachelor’s degree (required), Master’s degree (required) |
| Fields of study | Computer Science, Electrical Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
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
| Field | Value |
|---|---|
| Industry | Telecommunications |
| Company size | 10001+ |
| Headquarters | Shenzhen, Guangdong |
| Open jobs on Jobsy | 187 |
| View page |
Huawei Canada has an immediate 8/12/16-month Co-op opening for an Assistant Researcher.
About the team:
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
Research and develop state-of-the-art technology in computer vision and machine learning.
Work with various types of videos and image analysis 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:
Currently enrolled in Bachelor or Mater program in Computer Science, Electrical Engineering or a related technical field, having strong software development skills, previous internship experiences with C++ and Python development.
Solid understanding of computer science fundamentals (Data Structure / Algorithm).
Good understanding of machine learning techniques (Regression / SVM / PCA / neural networks, etc.).
Experience with applying machine learning or computer vision to real-world problems.
Coding language: Python and libraries such as numpy, matplotlib, scikit-learn. Deep learning frameworks (at least one): TensorFlow, PyTorch, etc.
Experience with image processing libraries (e.g. OpenCV and ffmpeg) and softwares (e.g. Adobe Photoshop) is an asset.
Experience with AIGC tools (e.g., Stable Diffusion, Flux, plugins like ControlNet) is an asset.
Experience with deploying neural networks on edge devices, Android development, and JNI, is an asset.
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