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
The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
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 working 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.
Skills Required
- 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 with at least one paper as the first author in top tier venues
- 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
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.
