Researcher - Reinforcement Learning

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.

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

• LLM post-training paradigms (e.g., RLHF, GRPO, reward-free methods, etc.).

• Agentic reinforcement learning for tool-using and browsing-based LLMs trained in interactive environments.

• Agentic evaluation and benchmarking, including design of multi-turn, verifiable reasoning tasks.

• Your work will involve implementing and evaluating new training and evaluation pipelines for reasoning-enhanced LLMs and tool-using agents, scaling experiments on large GPU clusters, and contributing to scientific insights and publications in this emerging area.