Applied Scientist

Job Title LLM Post-Training Specialist Job Description 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. 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 Qualifications Must-Have: 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-Have: Publications at top venues (NeurIPS, ICML, ICLR, ACL, EMNLP) Healthcare domain experience Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.