Research Scientist, Reinforcement Learning

The role focuses on developing new reinforcement learning algorithms for post-training large language models, adapting pre-LLM techniques, and establishing robust evaluation protocols. The researcher will lead a research agenda, analyze failure modes, and collaborate with cross‑functional teams to turn algorithmic ideas into reliable training systems.