Advance large language model efficiency with Huawei Canada as a Researcher intern, applying Python and PyTorch to scalable architectures. Work in Quebec's French-speaking environment.
Within Huawei Canada's Noah's Ark lab, this internship supports research on efficient and scalable LLMs. You will explore long-context models, data curation, and post-training methods. The work connects experiments, analysis, presentations, and publications in machine learning and NLP.
Key Responsibilities:
- Propose and explore ideas improving LLM efficiency and scalability
- Contribute to long-context LLM research projects
- Design experiments and analyze research results
- Present findings across end-to-end research projects
- Publish research in machine learning and NLP conferences
Requirements:
- Pursuing a Ph.D. or Master's in computer science or related field
- Understand NLP, LLM fundamentals, and machine learning theory
- Know transformer and linear-attention model architectures
- Program in Python and use PyTorch for LLM work
- Communicate effectively in English and collaborate in research settings
Apply LLM architecture, PyTorch, experimentation, and NLP research skills to Huawei Canada's efficiency-focused projects.
LLM Efficiency Research Intern in Markham employer: Huawei Technologies Canada Co., Ltd.
At Huawei Canada, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of optical communications. Our multicultural work environment encourages mentorship and professional growth, providing employees with unique opportunities to engage in cutting-edge projects while developing their skills. With a commitment to employee well-being and a focus on transformative technology, Huawei Canada is the ideal place for those looking to make a meaningful impact in the industry.
Contact Details:
Huawei Technologies Canada Co., Ltd. Recruitment Team
