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 effective 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 scalabilityContribute to long-context LLM research projectsDesign experiments and analyze research resultsPresent findings across end-to-end research projectsPublish research in machine learning and NLP conferencesRequirements:Pursuing a Ph.D. or Master’s in computer science or related fieldUnderstand NLP, LLM fundamentals, and machine learning theoryKnow transformer and linear-attention model architecturesProgram in Python and use PyTorch for LLM workCommunicate effectively in English and collaborate in research settingsApply LLM architecture, PyTorch, experimentation, and NLP research skills to Huawei Canada’s efficiency-focused projects.#J-18808-Ljbffr

📌 Jonas Fall Internship - Various Departments (Winnipeg)
🏢 Huawei Canada
📍 Winnipeg