Post-Training Researcher

The role focuses on designing and running post‑training experiments on frontier large language models, converting raw annotation artifacts into training‑ready datasets, and prototyping novel reward signals. The researcher will analyze failure modes, build lightweight training/evaluation pipelines, and document findings to improve model performance.