Intern Researcher - Multimodal Learning

Huawei Canada; Montreal (administrative region); On-site; CAD 40,000 - 60,000; Full time

Job summary

Huawei Canada is offering an internship for a Researcher in Montreal, Quebec. This role involves proposing and developing multimodal representation learning frameworks and enhancing existing models. Candidates should have a Ph.D. or Master’s in a related field, strong AI/ML coding skills in Python, and experience in computer vision and NLP.

Huawei emphasizes a French-speaking environment but requires English proficiency for communication with colleagues outside Quebec. The role supports advancements in artificial intelligence.

Qualifications

• Ph.D. or Master’s in Computer Science, Engineering, or related field.
• Experience with multimodal representation learning frameworks.
• Hands-on experience with training and fine-tuning foundation models.

Responsibilities

• Propose and develop multimodal representation learning frameworks.
• Enhance existing frameworks with novel solutions.
• Conduct experiments on large-scale datasets.

Skills

Deep learning architectures

Self-supervised learning techniques

Computer vision

Natural language processing

AI/ML coding skills in Python

Pytorch

Education

Ph.D. or Master’s in Computer Science or related field

Job description

Internship Opening

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.