About the role#
Huawei Canada is hiring an Assistant Researcher for a co-op position lasting 8, 12, or 16 months. You will join the Noah’s Ark lab to work on projects that integrate research into products and services.
What you'll do#
- Research and develop technology in computer vision and machine learning.
- Analyze videos and images using deep learning techniques.
- Optimize algorithms and machine learning models to fit mobile computing constraints.
What you'll need#
- Current enrollment in a Bachelor or Master program in Computer Science, Electrical Engineering, or a related field.
- Strong software development skills with previous internship experience in C++ and Python.
- A solid understanding of computer science fundamentals, specifically data structures and algorithms.
- Knowledge of machine learning techniques like regression, SVM, PCA, and neural networks.
- Experience applying machine learning or computer vision to real-world problems.
- Proficiency in Python libraries such as numpy, matplotlib, and scikit-learn.
- Experience with at least one deep learning framework like TensorFlow or PyTorch.
- Familiarity with image processing libraries like OpenCV or ffmpeg is an asset.
- Experience with AIGC tools, edge device deployment, Android development, or JNI is an asset.
Location & details#
- Location: Markham, Ontario, Canada.
- Work modality: On-site.
- Employment type: Full-time.
- Compensation: Paid.
- Sponsorship: Not provided.
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.
