Advance LLM learning through reinforcement learning research at Huawei Canada’s Noah’s Ark lab. This 12-month contract focuses on interactive environments. The Reinforcement Learning Researcher will develop research for continual, agentic self-improvement beyond static fine-tuning. Work spans deep learning, Transformers, language model post-training, and interactive agents. You will implement and evaluate training and benchmarking pipelines for reasoning-enhanced LLMs and tool-using systems. Key Responsibilities:
Enable LLMs to learn from experience and environment feedback Study RLHF, GRPO, and reward-free post-training methods Develop reinforcement learning for tool-using and browsing agents Design multi-turn, verifiable reasoning evaluation tasks Scale experiments across large GPU clusters and publish insights Requirements:
PhD in Computer Science or related field, or comparable master’s experience Strong deep learning foundation, including Transformers and optimization Research experience in reinforcement learning or language model fine-tuning First-author paper at a listed top-tier AI venue Python, PyTorch, DeepSpeed, and distributed training proficiency Apply reinforcement learning, distributed training, and evaluation expertise to advancing reasoning-enhanced LLM research at Huawei Canada.
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Reinforcement Learning Researcher LLMs in Edmonton employer: Huawei Technologies Co.
At Huawei Canada, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of cloud serverless data systems. Our vibrant work culture encourages continuous learning and professional growth, providing employees with opportunities to lead groundbreaking research while engaging with global technologies. Located in a dynamic tech hub, we offer unique advantages such as access to cutting-edge resources and a supportive environment that values creativity and teamwork.
