Co-op Researcher - LLMs Reasoning

Huawei Technologies Canada Co., Ltd.; Montreal (administrative region); On-site; CAD 34,000 - 48,000; Part time

Job summary

Huawei Canada is offering a co-op opening for a Researcher in Montreal. The role involves working on LLM reasoning and Agent research projects, implementing algorithms and deploying them into internal products, and collaborating with researchers.

The candidate should be enrolled in a senior Bachelor or Master’s in CS with strong DL knowledge and experience with PyTorch. The position emphasizes hands-on ML work, reporting insights and technical findings, and staying updated on ML developments

Qualifications

• Currently enrolled in senior Bachelor or Master’s in Computer Science or related field
• Strong knowledge of DL components and architectures (Transformers, LSTM, GNN)
• Experience with training or inference using Large Language Models (LLMs)
• Experience applying ML models to real-world applications
• Strong coding skills in Python; experience with PyTorch

Responsibilities

• Participate in LLM reasoning and Agent research projects
• Implement algorithms for proposed models and deploy into internal products
• Collaborate closely with researchers in the team
• Keep up-to-date on ML topics and write technical reports

Skills

Python

PyTorch

Deep Learning

Transformers

LSTM

GNN

LLMs training/inference

HuggingFace

DeepSpeed

Communication skills

Education

Senior Bachelor in CS

Master’s in CS

Tools

HuggingFace

DeepSpeed

Job description

Huawei Canada has an immediate Co-op 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 Next Generation Foundation Model, Agentic Models, Physical AI and Reinforcement Learning.

About the job:

• Participate in the innovative LLMs reasoningand LLMs empowered Agent research project;
• Implement algorithms for proposed models and applications, deploy into internal product;
• Work closely with researchers in the team;
• Keeping up-to-date on selected areas of ML and write insight report, technical reports.

About the ideal candidate:

• Currently enroll in senior Bachelor or Master’s in Computer Science or a related technical field;
• Good knowledge of Deep Learning (DL) components (training, regularization, generalization) and familiar with common DL architectures (e.g., Transformers, LSTM, GNN);
• Have experience in training or inference using Large Language Model (LLMs);
• Have experience in applying Machine learning model for real-world applications;
• Strong coding skills in Python, experience with coding in Pytorch;
• Experience in parallel model training is a plus, experience in Huggingfac & DeepSpeedis an asset;
• Have experience in training or inference using Large Language Model (LLMs) is an asset;
• Good verbal & written communication skill is an asset.

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.