Posted 14 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 researcher for a 12 or 16 month term in its Noah's Ark lab, working on computer vision and machine learning. The role involves designing and benchmarking algorithms for spatial reasoning and multimodal foundation models, collaborating with researchers and cross-functional teams. Target annual compensation is $58,000 to $104,000, depending on education, experience and demonstrated expertise.
Responsibilities:
- Develop expertise in a computer vision and machine learning topic
- Design and implement algorithms for spatial reasoning and multimodal models
- Evaluate and benchmark solutions on internal datasets
- Collaborate with researchers and cross-functional team members
Requirements summary:
- Enrolled in a co-op program for the full work term
- Pursuing a degree in computer science, machine learning or related field
- Strong Python and/or C++ coding skills
- Familiarity with PyTorch or TensorFlow and Linux
- Experience in computer vision, deep learning, VLMs or LLMs
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
- 2026-11-06
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 | Software development |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Machine Learning |
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 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.
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