Intern Researcher - LLMs Agentic AI and RL

Huawei Canada; Markham; On-site; CAD 79,451 - 142,465; Full time

Job summary

Huawei Canada is seeking an LLMs Researcher for an internship role focusing on developing next-generation AI agents powered by large language models. The successful candidate will research, prototype, and evaluate core capabilities of these agents, work collaboratively with engineers, and contribute to technical literature. Ideal candidates will be pursuing a Master’s or PhD, have a strong background in AI research, and be proficient in Python and PyTorch. Compensation ranges from $58,000 to $104,000 depending on qualifications.

Qualifications

• Currently pursuing a Master’s or PhD degree in a relevant field.
• Strong background in AI agents and large language models.
• Proven research record with publications in top tier venues.

Responsibilities

• Research and develop AI agents using large language models.
• Build and experiment with multi-agent systems for problem-solving.
• Collaborate with researchers to translate research into scalable AI systems.

Skills

Large language models

AI agents

Reinforcement learning

Decision-making systems

Python

PyTorch

Analytical problem solving

Education

Master’s or PhD degree in Computer Science, AI, ML, or related fields

Tools

Modern ML research workflows

Job description

Huawei Canada has an immediate internship opening for a LLMs 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 and develop next-generation AI agents powered by large language models for autonomous reasoning, planning, and task execution
• Prototype and evaluate core agent capabilities such as memory, tool use, self‑reflection, retrieval, and long‑horizon decision‑making
• Build and experiment with multi‑agent systems for collaboration, coordination, and complex problem solving
• Integrate AI agents with external tools, APIs, and real‑world environments to enable intelligent automation workflows
• Explore emerging research directions in reasoning‑enhanced LLMs, agent alignment, world models, and embodied intelligence
• Conduct experiments, analyze results, and iterate rapidly on new research ideas and prototypes
• Collaborate closely with researchers and engineers to translate cutting‑edge research into scalable AI systems
• Contribute to technical reports, publications, demos, and open research initiatives

total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

Job requirements

About the ideal candidate:

• Currently pursuing a Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or related fields
• Strong background in large language models, AI agents, reinforcement learning, or decision‑making systems
• Proven research record in AI by having at least one paper as the first author in top tier venues, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA
• Hands‑on experience with Python, PyTorch, and modern ML research workflows
• Familiarity with agent architectures, including planning, retrieval, tool use, memory, or multi‑agent systems
• Experience building research prototypes and running experiments independently
• Experience with large‑scale datasets, sensor data, transformer‑based architectures, or diffusion models is an asset
• Strong analytical and problem‑solving abilities with a passion for research and experimentation

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.