Applied Scientist

About the Company

Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.

Responsibilities

• Design and iterate on RL-based post-training methods (RLHF, RLVR, DPO, and beyond)
• Build and evaluate reward models, verifiers, and LLM-as-judge pipelines
• Develop conversational AI environments and simulations for healthcare RL training with synthetic data
• Run rigorous experiments to understand what drives post-training gains
• Collaborate with research, engineering, and clinical teams

Requirements

• MS or PhD in CS or relevant field
• 4+ years of experience in NLP, LLM training, RL, or general ML
• 1+ years experience in RL for LLM post-training
• Experience with large-scale (50B+ parameter and multi-node) LLM training
• Strong Python and PyTorch coding skills
• Experience with RLHF, RLVR, LLM-as-judge or similar methods for LLM post-training

Preferred Qualifications

• Publications at top venues (NeurIPS, ICML, ICLR, ACL, EMNLP)
• Healthcare domain experience