Researcher - Reinforcement Learning and LLM Reasoning

Huawei Canada has an immediate 12-month contract opening for a 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:

• Conduct cutting-edge research in the field of Large Language Models (LLMs), focusing on advancing model reasoning.

• Leverage Reinforcement learning and Deep Learning to enhance the reasoning capabilities and decision-making of LLMs.

• Design, implement, and experiment with novel methods to improve model performance and efficiency in real-world applications.

• Publish high-quality research in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR) and contribute to the broader machine learning community.

About the ideal candidate:

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related technical field.

• Strong understanding of Transformers and Reinforcement Learning for LLMs.

• Expertise in training Large Language Models (LLMs) in RL with verifiable rewards with frameworks like PyTorch.

• Hands-on experience with fine-tuning, RLHF, and applying advanced reasoning methods such as Chain of Thought and In-Context Learning.

• Effective analytical, problem-solving, and troubleshooting skills with a focus on innovative research solutions.

• Strong communication skills, both written and verbal, and a demonstrated ability to convey complex research findings to a variety of audiences, demonstrated through published papers at top-tier conferences like NeurIPS, ICLR, ACL, etc.