Applied Scientist, Reinforcement Learning (Mid, Senior, Staff)

The Applied Scientist, Reinforcement Learning role at Hippocratic AI focuses on developing and implementing post-training methods, including reinforcement learning and on-policy distillation, to enhance the safety and clinical reasoning capabilities of large language models. This position involves designing reward models, creating clinical simulations, and automating research loops to improve model performance in healthcare environments. The role requires collaboration with cross-functional teams to translate clinical requirements into effective AI training objectives.