Applied Scientist

Job Title

LLM Post-Training Specialist

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.

• 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

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

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