Intern Researcher - Agentic AI

Huawei Canada; Montreal (administrative region); On-site; CAD 20,088 - 26,784; Part time

Job summary

Huawei Canada’s Noah’s Ark lab in Montreal is offering an internship position for a Researcher to design and implement novel LLM-based agent architectures for planning and decision-making. You will explore memory, reflection, and continual learning while evaluating experiments and driving insights.

The ideal candidate is a PhD/Master’s student in CS with hands-on agent-system experience, knowledge of RL, ReAct, CoT, and strong Python/PyTorch skills, plus excellent communication and collaboration

Qualifications

• Currently a PhD or Master’s student in computer science or related field.
• Hands-on project experiences on building agent systems for planning and reasoning.
• Familiar with reinforcement learning (RL), ReAct (Reasoning and Acting), and Chain-of-Thought (CoT), tool calling.
• Strong AI/ML coding skills in Python; experienced with PyTorch.
• Good communication skills, willingness to collaborate and self-motivated.

Responsibilities

• Research, design, and implement novel LLM-based agent architectures for planning, reasoning, and decision-making.
• Explore agent memory, reflection, self-evaluation, and feedback loop to enable continual learning and self-improvement.
• Survey recent developments in the related field and proactively communicate with team members.
• Perform experiments and evaluate, analyze and drive insights from experiments.

Skills

Python

PyTorch

AI/ML coding

Communication

Collaboration

Education

PhD or Master’s student in computer science

Tools

ReAct

Chain-of-Thought (CoT)

tool calling

RL

Job description

Huawei Canada has an immediate internship opening for a Researcher

About the team

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state‑of‑the‑art research while integrating innovations into the company’s products and services, including LLMs, RL, NLP, computer vision, AI theory, and autonomous driving.

About the job

• Research, design, and implement novel LLM‑based agent architectures for planning, reasoning, and decision‑making.
• Explore agent memory, reflection, self‑evaluation, and feedback loop to enable continual learning and self‑improvement.
• Survey recent developments in the related field and proactively communicate with team members.
• Perform experiments and evaluate, analyze and drive insights from experiments.

Job requirements

About the ideal candidate

• Currently a PhD or Master’s student in computer science or related fields.
• Hands‑on project experiences on building agent systems for planning and reasoning.
• Familiar with reinforcement learning (RL), ReAct (Reasoning and Acting), and Chain‑of‑Thought (CoT), tool calling.
• Strong AI/ML coding skills in Python; experienced with PyTorch.
• Good communication skills, willingness to collaborate and self‑motivated.
• Excellent oral and written communication skills.

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.

Huawei aims to support a French‑speaking work environment for its employees in Quebec. While we have taken steps to avoid requiring a language other than French for this position, proficiency in English is essential. The person will be required to communicate regularly with colleagues located outside Quebec, where English is the primary language used for communication between offices, and the nature of the tasks related to this position falls within a highly specialized field of artificial intelligence that also requires knowledge of English.