Reinforcement Learning Research Intern

Apply advanced reinforcement learning and large language model expertise as an Intern with Huawei Canada’s Wireless Lab in Ottawa.This Intern role focuses on large-scale graph optimization and complex scheduling problems. You will explore continual, agentic self-improvement for LLMs while collaborating with researchers. The work connects machine learning, deep learning, and high-performance computing research.Key Responsibilities:
Design reinforcement learning for graph-structured optimization problemsImplement solutions for complex scheduling challengesEnable LLM learning through interaction and feedbackPrototype research ideas into proof-of-concept implementationsContribute to scientific papers and literature reviewsRequirements:
Pursuing a PhD or master’s degree in Computer ScienceBackground in machine learning and deep learningExperience with reinforcement or self-supervised learningStrong theory in agentic, multi-agent, or Meta-RLFamiliarity with LLMs or generative AI methodsDevelop reinforcement learning and LLM research with Huawei Canada researchers in Ottawa’s Advanced Wireless Technology Wireless Lab.
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