Huawei Canada has an immediate 4-12 month internship opening for an Intern Researcher.
About the team:
Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud native databases, intelligent SQL engine, LLM/Agent infrastructure and LLM/Agent Evaluation Technology. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.
About the Job:
Contributing to cutting-edge research on the capabilities and evaluation of large language model-based agents to shape the next generation of reliable, reasoning-capable AI systems.
The role focuses on addressing fundamental questions that arise as AI agents are increasingly deployed in complex, long-horizon tasks, specifically regarding how they manage context, reason under uncertainty, and maintain reliable behavior.
Research strategies will involve drawing from formal reasoning, causal inference, and theoretical foundations to better characterize and understand agent behavior in various environments.
This is strictly a research-first position where you will be expected to formulate complex problems, run detailed experiments, and contribute to publishable work rather than building production systems.
The ultimate goal of the work is to develop principled methods and theoretical foundations that ensure meaningful progress in the field of agent evaluation and autonomous reasoning.
The targeted annual total compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Currently enrolled in a Master or PhD program in Computer Science, Electrical Engineering, Mathematics, or a closely related field
Demonstrated research output such as publications, preprints, or workshop papers at top-tier venues.
Solid foundation in machine learning and NLP fundamentals. Research experience in one or more of the following areas is an asset: LLM Architectures, causal inference and counterfactual reasoning, Formal Methods, or Neurosymbolic AI
Demonstrated ability to work on a research project from hypothesis to result
Clear and effective written and verbal communication skills
Experience designing, critiquing, or extending LLM reasoning or agent evaluation benchmarks
Additional Information：
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
Skills Required
- Currently enrolled in a Master or PhD program in Computer Science, Electrical Engineering, Mathematics or related field
- Demonstrated research output such as publications, preprints, or workshop papers
- Solid foundation in machine learning and NLP fundamentals
- Research experience in LLM Architectures, causal inference and counterfactual reasoning, Formal Methods, or Neurosymbolic AI
- Ability to work on a research project from hypothesis to result
- Clear and effective written and verbal communication skills
- Experience designing, critiquing, or extending LLM reasoning or agent evaluation benchmarks
What We Do
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.
