Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Owning the RL-based post-training pipeline end-to-end to improve clinical reasoning, safety, and alignment of LLMs. Focus on designing and iterating on RL-based post-training methods, building and evaluating reward models, and developing conversational AI environments for healthcare RL training with synthetic data.

Location: Must be in our Palo Alto office five days a week.

Company

hirify.global is the leading generative AI company in healthcare with the only system that can have safe, autonomous, clinical conversations with patients.

What you will do

• 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 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

Culture & Benefits

• Reinvent healthcare with AI that puts safety first.
• Work with the people shaping the future.
• Backed by the world’s leading healthcare and AI investors.
• Build alongside the best in healthcare and AI.