About the role#
This co-op position is based in the Noah's Ark Laboratory at Huawei Canada. You will join a team focused on embodied AI and related research projects. Your work will bridge the gap between theoretical research and practical product deployment.
What you'll do#
- Contribute to research projects centered on embodied AI.
- Implement algorithms for new models and deploy them into internal products.
- Collaborate directly with the research team.
- Stay current on developments in machine learning.
- Produce technical and insight reports.
What you'll need#
- Current enrollment in at least the third year of a Bachelor or Master’s program in Computer Science, Electrical Engineering, or a related technical field.
- Active enrollment in an official university co-op program for the full duration of the work term.
- Strong coding skills in Python and experience with Pytorch.
- Solid understanding of deep learning components, including training, regularization, and generalization.
- Good verbal and written communication skills.
- Experience with Large Language Models (LLMs) or robotics is an asset.
Location & details#
- Location: Markham, Ontario.
- Work modality: On-site.
- Term: Rolling.
- Compensation: $58,000 to $104,000 annually, based on education and experience.
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.
