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.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop computer vision and machine learning methods, aiming to advance current research
- Analyze images and videos with deep learning and computer vision techniques
- Improve algorithms and machine learning models so they can run on mobile devices
What you bring
- You are enrolled in an upper-year bachelor's or master's program in computer science, electrical engineering or a related technical field
- You bring software development skills and internship experience using C++ and Python
- You know machine and deep learning, and have applied them to practical problems, including computer vision projects in industry
- You have trained and assessed deep learning models and worked with at least one architecture, such as CNNs or Transformers
- You have used TensorFlow, PyTorch or another deep learning framework
Who this fits
This co-op suits a student seeking an assistant researcher role in computer vision and machine learning. The position is onsite in Markham, and the co-op term is eight, twelve or sixteen months.
From the employer
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.