Intern Researcher - AI Agent Evaluation

About the role

Huawei Canada's Distributed Scheduling and Data Engine Lab is seeking an Intern Researcher to advance the evaluation of large-language-model (LLM) based agents. The role focuses on fundamental questions about context management, reasoning under uncertainty, and reliable behavior in long-horizon tasks, aiming to shape the next generation of trustworthy AI systems.

Key responsibilities

• Design and execute research experiments that assess the capabilities and limitations of LLM-based agents.
• Formulate complex research problems, develop theoretical frameworks, and produce publishable results.
• Develop principled methods and theoretical foundations for agent evaluation and autonomous reasoning.

Required profile

• Currently enrolled in a Master’s 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 natural language processing fundamentals.

Required skills

• Machine learning and NLP fundamentals.
• Experience with LLM architectures, causal inference, counterfactual reasoning, formal methods, or neurosymbolic AI.