Intern Researcher - AI Agent Evaluation
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Junior AI Research role at Huawei Technologies Canada Co., Ltd. Markham · full-time · CA$58,000–CA$104,000 OTE.
aimlroles summary, based on the employer's posting.
What you'll do
- Investigate how language-model agents handle context, uncertainty, and dependable behavior during complex, extended tasks
- Frame open research questions about agent capabilities and evaluation, drawing on formal reasoning and causal inference
- Design and run detailed experiments to test agent behavior across different environments
- Develop research results into publishable work, focusing on evaluation methods rather than production systems
What you bring
- Current enrollment in a master's or doctoral program in computer science, electrical engineering, mathematics, or a related discipline
- Research work such as publications, preprints, or workshop papers presented at leading venues
- A solid grounding in machine learning and natural language processing fundamentals
- Experience taking a research project from its initial hypothesis through to results
Who this fits
This junior internship suits a research-focused graduate student who wants to study AI agent reasoning and evaluation, rather than build production systems. The internship runs for four to twelve months and is on-site in Markham, Canada.
From the employer
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.