Co-op Researcher-Computer Vision and Machine Learning
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Junior AI Research role at Huawei Technologies Canada Co., Ltd. Markham · internship · CA$58,000–CA$104,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Investigate a computer vision or machine learning topic in depth and build expertise that supports new research
- Create and implement advanced methods for spatial reasoning and multimodal foundation models
- Test and benchmark proposed methods using internal datasets
- Exchange findings with fellow researchers and take part in cross-team meetings and working groups
What you bring
- You are pursuing a computer science, machine learning, or related degree and are registered in a co-op work term covering the full internship
- You can code in Python, C++, or both, and have strong written and spoken communication skills
- You understand linear algebra, probability, optimization, computer vision, and machine learning fundamentals
Who this fits
This internship suits a student seeking a twelve- or sixteen-month co-op research term in computer vision and machine learning. The position is onsite in Markham.
From the employer
Huawei Canada has an immediate 12/16-month Co-op opening for a Researcher role.
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:
Dig deep into a computer vision and machine learning topic, becoming a subject matter expert and driving innovation.
Design and implement the state-of-the-art algorithms for spatial reasoning and multimodal foundation model.
Evaluate and benchmark solutions with internal datasets.
Collaborate closely with our other researchers, exchanging knowledge and expertise to drive impactful discoveries.
Collaborate with cross-functional team members, including regular attendance and participation in meetings and working groups.
The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Applicants must be enrolled in a co-op program and be registered for an official co-op work term for the full duration of the employment period
Currently pursuing a degree in Computer Science, Machine Learning or a related field.
Excellent written and verbal communication skills
Excellent coding skills with Python and/or C++
Familiarity with deep learning frameworks such as Pytorch and Tensorflow
Familiarity with Linux
Solid understanding of core concepts, including linear algebra, probability theory, optimization, computer vision, and machine learning
Experience in one or more focus areas: Computer Vision, Deep Learning, VLMs, LLMs, etc.