Co-op Researcher

Posted 4 Days Ago
Be an Early Applicant
Montréal, QC, CAN
In-Office
58K-104K Annually
Entry level
Information Technology • Other
The Role
Conduct research on reinforcement learning for graph optimization and scheduling, agentic and continual learning for large language models, and structured reasoning systems. Collaborate with researchers to prototype and integrate proof-of-concept solutions, track advances in AI for high-performance computing, and contribute to scientific publications.
Summary Generated by Built In

Huawei Canada has an immediate co-op opening for a Researcher.

About the team:

Welcome to the Advanced Wireless Technology Wireless Lab, an epitome of innovation located in Ottawa, Canada. Here, amid the dynamic panorama of technological progress, our team consists mainly of seasoned graduate computer engineers and computer scientists. With diverse experiences ranging from fresh perspectives to decades-long industry immersion, we are united by our fervour for pioneering wireless solutions.

About the job:

  • Design and implement advanced reinforcement learning for large-scale graph-structured optimization and complex scheduling problems.

  • Enabling Large Language Models (LLMs) to learn from experience, interaction, and environment feedback, moving beyond static fine-tuning toward continual, agentic self-improvement.

  • Collaborate closely with researchers to prototype, implement, and integrate research ideas into proof-of-concept.

  • Stay current with literature and recent advances in the AI domain for high-performance computing.

  • Contribute to scientific papers.

The total targeted annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

  • Currently pursing a PhD degree or master's degree in Computer Science or related fields.

  • Background in machine learning, deep learning and practical or research experience in reinforcement learning, self-supervised learning, or language model fine-tuning.

  • Strong theoretical in advanced reinforcement learning (agentic RL, multi-agent RL or Meta-RL).

  • Familiarity with LLMs or generative AI methods and their integrations into structured reasoning or decision systems.

  • Excellent communication skills, self-motivated, with creative thinking and attention to details.

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 PhD or master's degree in Computer Science or a related field
  • Background in machine learning and deep learning
  • Practical or research experience in reinforcement learning, self-supervised learning, or language model fine-tuning
  • Strong theoretical knowledge of advanced reinforcement learning, such as agentic RL, multi-agent RL, or Meta-RL
  • Familiarity with large language models or generative AI methods and their integration into structured reasoning or decision systems
  • Excellent communication skills
  • Self-motivated and creative thinker with strong attention to detail
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The Company
HQ: Sham Chun Hu
1,770 Employees
Year Founded: 1987

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.

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