Huawei Canada has an immediate permanent opening for a Senior 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:
Design and develop next-generation AI agents powered by large language models, enabling autonomous reasoning, planning, and task execution.
Build core agent capabilities such as memory, tool use, self-reflection, and long-horizon decision-making.
Develop and optimize multi-agent systems to support collaboration, coordination, and complex problem solving.
Integrate AI agents with external tools, APIs, and real-world systems to enable end-to-end automation.
Explore and advance techniques in reasoning-enhanced LLMs, agent alignment, and embodied intelligence.
Collaborate with cross-functional teams to translate cutting-edge research into scalable, production-ready systems.
The total target annual compensation for this position ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent industry experience.
Strong background in large language models, AI agents, or decision-making systems.
Track record of research contributions, including publications in venues such as NeurIPS, ICML, ICLR, or equivalent applied work.
Experience rapidly turning ideas into working prototypes and experiments.
Solid engineering skills (e.g., Python, PyTorch) and experience working with large-scale ML systems.
Familiarity with agent architectures (e.g., tool use, retrieval, planning, memory) is an asset.
Strong communication skills and the ability to work across research, engineering, and product teams.
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
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field
- Strong background in large language models, AI agents, or decision-making systems
- Track record of research contributions, including publications in venues like NeurIPS, ICML, ICLR
- Experience rapidly turning ideas into working prototypes and experiments
- Solid engineering skills, especially in Python and PyTorch
- Experience working with large-scale ML systems
- Familiarity with agent architectures (e.g., tool use, retrieval, planning, memory)
- Strong communication skills across research, engineering, and product teams
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.
.png)
