About the role#
Huawei Canada is seeking a Co-op Researcher for an 8-16 month term. This position focuses on the research and development of advanced technologies within the fields of machine learning and computer vision.
What you'll do#
- Research and develop state-of-the-art technology in computer vision and machine learning.
- Work on video and image understanding and synthesis tasks using deep learning techniques.
- Optimize algorithms and machine learning models while considering mobile computing constraints.
What you'll need#
- Experience applying machine learning or computer vision to real-world problems.
- A solid grasp of basic computer vision concepts and techniques.
- Proficiency in Python and at least one deep learning framework, such as PyTorch or TensorFlow.
- Academic research experience, such as participation in paper publishing, is an asset.
- Skills in OpenCV, mobile app development, photo editing, or image/video generation AI (e.g., Stable Diffusion, Flux) are considered an asset.
Location & details#
- Location: Markham, Ontario, Canada.
- Work Modality: On-site.
- Employment Type: Full-time, paid co-op.
About Huawei Canada
Huawei Canada operates as a division of the global information and communications technology provider founded in 1987. The company focuses on research and development, specifically in 5G technologies, cloud services, and network infrastructure. It maintains a significant presence in Canada with its main headquarters in Markham and multiple research facilities across the country. The Canadian operations employ over 1,700 people.
How to get in at Huawei Canada
Applying early gives you a distinct advantage at Huawei Canada, as recruiters often review applications as they arrive before the candidate pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you stay ahead of the crowd. Being among the first to submit your materials ensures your profile is seen before the pile grows. You can also improve your response rates by reaching out to the right people. Intern Insider surfaces the recruiters behind the company's roles, allowing you to connect directly to ask about the position or a referral. This direct approach often proves more effective than waiting for a response from a general application queue.
