Researcher - Efficient Architecture for LLMs

Huawei Technologies Canada Co., Ltd.; Montreal (administrative region); On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading technology firm in Canada has an immediate opening for a Researcher focused on advancing artificial intelligence, particularly in large language models (LLMs). The ideal candidate holds a Ph.D. in Computer Science or a related field, possesses strong programming skills in Python, and has published in top-tier ML and NLP venues. Responsibilities include proposing and developing research ideas, participating in applied projects, and publishing findings in leading conferences. Proficiency in English is essential due to international collaboration.

Qualifications

• First-author publications in top-tier machine learning (ML) and natural language processing (NLP) venues.
• Deep understanding of NLP and LLM fundamentals and state-of-the-art methods.
• Experience with modern LLM training and inference stacks.

Responsibilities

• Propose and develop novel research ideas in LLMs.
• Participate in applied research projects on long-context LLMs.
• Publish research in top-tier ML and NLP conferences.

Skills

Strong programming skills in Python

Expertise in PyTorch

Excellent oral and written communication skills

Education

Ph.D. in Computer Science, Software Engineering, or a related field

Tools

Hugging Face Transformers/Accelerate

Megatron-LM

vLLM

Job description

Huawei Canada has an immediate 12-month contract 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:

• Propose and develop novel research ideas to advance the state of the art in large language models (LLMs).
• Participate in applied research projects focused on enabling long-context LLMs, including work on efficient architectures, data curation, and post-training methods.
• Deliver end-to-end projects by designing and executing experiments, analyzing results, and presenting findings.
• Publish research in top-tier machine learning and natural language processing (NLP) conferences.
• Supervise and mentor a small group of researchers and engineers to deliver projects and publish conference papers.
• Track advances across the LLM and AI ecosystem, translating new developments into actionable insights for the team.

About the ideal candidate:

• A Ph.D. in Computer Science, Software Engineering, or a related field.
• First-author publications in top-tier machine learning (ML) and natural language processing (NLP) venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL.
• A deep understanding of NLP and large language model (LLM) fundamentals and state-of-the-art methods, coupled with a strong theoretical grounding in machine learning.
• Expertise in modern LLM architectures, including transformer models (e.g., Llama, Qwen) and linear-attention models (e.g., Mamba, GLA).
• Strong programming skills in Python with expertise in PyTorch.
• Experience with modern LLM training and inference stacks (e.g., Hugging Face Transformers/Accelerate, Megatron-LM, vLLM).
• Excellent oral and written communication skills.

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.