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Senior Researcher - LLMs

    • Montreal, Quebec
  • s9y76

Job description

Huawei Canada has an immediate permanent opening for a Senior 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.

Job requirements

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.

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