Co-op Researcher – Computer Vision and Machine Learning
- Salary
- Not stated
- Level
- Intern
- Work type
- On-site · Markham
- Visa
- Not stated
Open. First seen 3 October 2026.
The team: Noah's Ark Laboratory HIRES STEADILY
This role is one of 30 open in Noah's Ark Laboratory. 2 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (27 of 30), Python (25 of 30), PyTorch (23 of 30), Computer Vision (22 of 30), NLP (21 of 30), Deep Learning (20 of 30), Machine Learning (20 of 30)
OTHER ROLES ON THIS TEAM
- Researcher - Technology Strategist - Physical AI posted Oct 15
- Intern Researcher- Audio, Speech & Acoustic AI posted Oct 13
- Researcher - Physical AI posted Sep 10
- Researcher-AI Agents posted Sep 9
- Co-op Researcher – Agentic AI posted Aug 27
- Co-op Researcher - Machine Learning, Speech & Audio AI posted Aug 21
- Co-op Researcher - Physical AI posted Aug 21
- Co-op Engineer - Machine Learning and AI Infrastructure posted Aug 21
- Researcher - Speech & Acoustic AI posted Aug 10
- Intern Researcher - Agentic AI posted Jul 7
- Intern Researcher - Embodied AI posted Jun 23
- Co-op Engineer - AI Software Engineering posted Jun 17
- Co-op Engineer-Mobile AI posted May 8
- Intern Researcher - Physical AI posted May 8
- Intern Researcher - LLMs Agentic AI and RL posted May 8
- Machine Learning Researcher -LLM Agents & Efficient Deep Learning posted May 5
- Chief Scientist - Physical AI posted Apr 23
- Chief Scientist - Physical AI posted Apr 23
- Senior Principal Researcher - AI Algorithm posted Apr 20
- Senior Researcher - AI Agent posted Apr 20
- Senior Researcher - Physical AI posted Apr 17
- Researcher – AI for Scientific Algorithm Discovery posted Apr 2
- Co-op Researcher-AI for Autonomous Driving & Multimodal Learning posted Oct 29
- Co-op Researcher-Computer Vision and Machine Learning posted Sep 4
- Co-op Researcher-Computer Vision and Machine Learning posted Sep 4
- Co-op Researcher - Machine Learning and Computer Vision posted Sep 4
- Co-op Researcher - Embodied AI Agent (Robotic) posted May 1
- Senior Researcher - Embodied AI posted Apr 15
- Intern Researcher - Embodied AI posted Jan 17
From the team and dates on huaweicanada's own job board.
About the role
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.
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