Researcher - Efficient Architecture for LLMs

• 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.

• 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.