Intern - Researcher

Huawei Canada; Montreal; Presencial; CAD 58 000 - 104 000; Tempo parcial

Resumo da oferta

Huawei Canada is seeking an intern for the Advanced Wireless Technology Wireless Lab in Ottawa, focusing on reinforcement learning for complex scheduling and graph-structured optimization. You will enable LLMs to learn from experience and collaborate with researchers toPrototype, implement, and integrate ideas into proofs of concept.

Ideal candidates are pursuing a PhD or master's in CS or related fields, with strong ML/DL/RL background and experience in LM fine-tuning.

Qualificações

• Pursuing a PhD or master's degree in Computer Science or related field.
• Strong background in ML, DL, RL, self-supervised learning, or LM fine-tuning.
• Excellent communication and collaborative research skills.

Responsabilidades

• Design and implement reinforcement learning for large-scale graph-structured optimization.
• Enable LLMs to learn from experience and environment feedback.
• Collaborate with researchers to prototype and integrate ideas into proofs of concept.
• Stay current with AI literature and high-performance computing advances.
• Contribute to scientific papers.

Conhecimentos

Machine Learning

Deep Learning

Reinforcement Learning

Self-supervised Learning

Language Model Fine-tuning

Formação académica

PhD or MS in CS or related field

Descrição da oferta de emprego

Huawei Canada has an immediateopening for an Intern.

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.