Explore long-context LLMs at Huawei Canada’s Noah’s Ark lab, focusing on efficient architectures, data curation, and post-training methods. This Quebec internship requires English.

As a Researcher intern, you will participate in applied projects advancing large language model capabilities. Your work may span transformer models such as Llama and Qwen, linear-attention models, and experiments evaluating LLM performance. Research findings support conference publications and team insights.

Key Responsibilities:

- Support applied research enabling long-context LLMs
- Investigate efficient architectures and post-training methods
- Contribute to data curation for language models
- Execute experiments and evaluate model results
- Track LLM and AI ecosystem advances

Requirements:

- Currently pursuing graduate studies in a related discipline
- Strong NLP and state-of-the-art LLM knowledge
- Expertise with contemporary transformer architectures, including Llama or Qwen
- Knowledge of linear-attention models such as Mamba
- Python and PyTorch expertise with LLM training experience

Develop long-context LLM research through architecture exploration, evaluation, data curation, and post-training at Huawei Canada.

📌 Long-Context LLM Research Intern (Canada)
🏢 Huawei Technologies Canada Co.
📍 Canada