Pre-Doctoral Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training

The position emphasizes large-scale reinforcement learning for post-training, addressing both practical and theoretical issues. Candidates should have a BA/BS in computer science or related fields and a track record in scientific research. Responsibilities include preparing publications, mentoring, and collaboration. The position is initially for 6 months, renewable based on performance and funding. A complete application must include a CV, letters of reference, publication samples, and a research statement.