Intern Assistant Engineer – LLM
Location :
Ontario, Canada
Job Type :
Key Responsibilities
1. Develop, fine‑tune, and evaluate LLMs aimed at software engineering tasks, such as code generation, bug detection, and test creation using PyTorch and other frameworks.
2. Implement data preprocessing and training pipelines tailored for code corpora, including tokenization, batching, and dataset management.
3. Write robust, maintainable code, with tests, documentation, and automated CI/CD integration.
4. Communicate progress and results, presenting findings in lab meetings and contributing to group knowledge.
5. Meet top industry and academic leaders and experts around the world, collaborate with top researchers and students, consult with Engineering teams across diverse domains, publish research papers in far-reaching and impactful areas, and submit patent applications for novel inventions.
Job Descripition
We are seeking a passionate and skilled Research Engineer to join our cutting-edge AI research team. In this role, you will work on developing, fine-tuning, and evaluating large language models (LLMs) tailored for software engineering tasks such as code generation, bug detection, and automated test creation. You will be working in a collaborative, fast-paced research environment with access to top-tier talent, industry leaders, and global experts.
About Company
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.