Posted 10 months ago
Co-op Researcher – Computer Vision and Machine Learning
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
Overview
Huawei Technologies Canada is hiring a co-op Assistant Researcher for its Noah's Ark lab, for an 8, 12 or 16 month term. The role researches and develops computer vision and machine learning technology, including image and video analysis and optimizing models for mobile deployment. The posting asks for a current senior undergraduate or graduate student in a technical field with C++, Python and deep learning experience.
Responsibilities:
- Research and develop computer vision and machine learning technology
- Work on image and video analysis with deep learning techniques
- Optimize algorithms and models for mobile deployment
Requirements summary:
- Enrolled in senior bachelor's or master's in computer science, electrical engineering or related field
- Internship experience with C++ and Python development
- Experience with TensorFlow, PyTorch or other deep learning frameworks
- Demonstrated computer vision project experience in industry
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2026-01-12
- 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 |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| 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 image and video analysis, using cutting-edge deep learning and computer vision techniques.
Work on optimization of algorithms and machine learning models for deployment on mobile.
About the ideal candidate:
Currently enrolled in senior Bachelor or Master’s in Computer Science, Electrical Engineering or a related technical field, having strong software development skills, previous internship experiences with C++ and Python development.
Solid knowledge of machine learning and deep learning techniques. Experienced in applying machine learning and computer vision to real-world problems.
Experience with TensorFlow, Pytorch, or other deep learning frameworks.
Experience with Android development and familiar with JNI is an asset.
Excellent verbal and written communication skills, self-motivated, with creative thinking and attention to details. Excellent organization skills under pressure and dynamic priorities, effectiveness in prioritizing tasks.
Experience in training, regularization, generalization and evaluation of deep learning models, demonstrated through internships and projects.
Experience with and knowledge of at least one deep learning architecture (Transformers, GNN, CNN, GAN, LSTM, VAE, ...).
Demonstrated experience with Computer Vision projects in industry.
Journal
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