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 up-to-date 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.

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