Senior Applied Scientist

Hippocratic AI • Palo Alto, CA

2d • Onsite

About The Position

LLM post-training is where raw capability becomes reliable, safe behavior — and in healthcare, the stakes are as high as they get. You'll own the RL-based post-training pipeline end-to-end to improve our models' clinical reasoning, safety, and alignment. Your models will be deployed to interact with millions of patients across diverse clinical use cases.

Requirements

• MS or PhD in CS or relevant field
• 4+ years or 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

Nice To Haves

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree