Researcher - Efficient Architecture for LLMs

Reposted One Month Ago
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Montréal, QC, CAN
In-Office
Expert/Leader
Information Technology • Other
The Role
Develop novel research for large language models, manage projects, publish findings, and mentor team members in advanced AI techniques.
Summary Generated by Built In

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.

Skills Required

  • Ph.D. in Computer Science or related field
  • First-author publications in top-tier ML and NLP venues
  • Deep understanding of NLP and LLM fundamentals
  • Expertise in modern LLM architectures
  • Strong programming skills in Python with PyTorch
  • Experience with modern LLM training and inference stacks
  • Excellent communication skills
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The Company
HQ: Sham Chun Hu
1,770 Employees
Year Founded: 1987

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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