Huawei Canada has an immediate internship opening for a 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:
Proposing and developing multimodal representation learning frameworks, including but not limited to algorithm design, model development, and data processing.
Enhancing existing representation learning frameworks through the integration of novel solutions.
Conducting experiments on large-scale datasets to validate and evaluate proposed ideas and solutions.
Staying current with the latest advancements in multimodal representation learning across both industry and academia.
Contributing to the proposal of high-impact intellectual properties (e.g., patents) and publishing of research papers in top-tier AI/ML conferences.
About the ideal candidate:
A Ph.D. or a Master’s in Computer Science, Computer Engineering, Electrical and Computer Engineering, or a related field.
Familiar with deep learning architectures, as well as self-supervised and contrastive learning techniques.
Hands-on experience with computer vision and natural language processing projects.
Relevant experience in training and fine-tuning foundation models for vision and language downstream tasks.
Strong AI/ML coding skills in Python; experienced with coding in Pytorch.
Good communication skills, willingness to collaborate, and self-motivation.
Additional Information:
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know, and we will work with you to meet your needs.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
Huawei aims to support a French-speaking work environment for its employees in Quebec. We have taken steps to avoid requiring a language other than French for this position. However, proficiency in English is essential for this role for the following reasons:
The person will be required to communicate regularly with colleagues located outside Quebec, where English is the primary language used for communication between offices. In addition, the nature of the tasks related to this position, which falls within a highly specialized field of artificial intelligence, also requires knowledge of English.
Skills Required
- Ph.D. or Master's in Computer Science, Computer Engineering, Electrical and Computer Engineering, or related field
- Familiarity with deep learning architectures
- Experience with self-supervised and contrastive learning techniques
- Hands-on experience with computer vision projects
- Hands-on experience with natural language processing projects
- Experience training and fine-tuning foundation models for vision and language tasks
- Strong AI/ML coding skills in Python
- Experience coding with PyTorch
- Good communication skills, collaboration willingness, and self-motivation
What We Do
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
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