Researcher - Efficient Architecture for LLMs

Huawei Technologies Canada Co., Ltd.; Markham; Presencial; CAD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Huawei Canada is seeking a Researcher on a 12-month contract in Markham, Ontario. The role focuses on advancing large language models (LLMs) and long-context techniques, with opportunities to publish in top ML/NLP venues.

The ideal candidate holds a PhD in Computer Science/Software Engineering and has first-author papers in major ML/NLP conferences. Strong Python, PyTorch, and modern LLM tooling are essential.

Formación

• PhD in CS/SE or related field.
• First-author ML/NLP publications.
• Strong Python and PyTorch skills.

Responsabilidades

• Propose and develop novel research ideas to advance LLM state of the art.
• Participate in applied research on long-context LLMs, architectures, data curation, post-training methods.
• Deliver end-to-end projects by designing experiments, analyzing results, and presenting findings.
• Publish research in top ML/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.

Conocimientos

Python

PyTorch

NLP basics

LLM architectures

Research mentoring

English communication

Educación

PhD in CS/SE

Top ML/NLP publications

Herramientas

Hugging Face Transformers

Megatron-LM

vLLM

Accelerate

Descripción del empleo

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.