Research Lead/Principal Scientist & Manager for Post-Training, Alignment, and Reinforcement Learning at Autodesk AI Lab. The role focuses on transforming foundation models into reliable, aligned, and useful systems for complex, domain-specific workflows in industries like architecture, engineering, and construction. Responsibilities include leading research strategy, developing novel algorithms, managing a team of AI scientists, designing evaluation frameworks, and contributing to publications. The position leverages unique assets like physics simulation engines for grounded reinforcement learning.

Autodesk Research is seeking an AI Scientist Manager to lead post-training and model alignment efforts. This role involves managing and growing a team of AI scientists while also contributing as a hands-on researcher. Responsibilities include leading instruction tuning, preference optimization (RLHF, RLAIF, DPO, PPO), and domain-specific post-training. The role also involves designing and maintaining evaluation frameworks for reasoning, tool-use, safety, and robustness, and providing go/no-go recommendations for model releases. The position requires a PhD or equivalent experience, proven people management skills, and expertise in LLMs, fine-tuning, and experimental design.