Staff Applied Scientist, Reinforcement Learning

Hippocratic AI
Menlo Park, CA, United States
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Python (Programming Language) Node.Js Reinforcement Learning Pytorch Large Language Models Software Coding

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 Reinforcement Learning (RL) and On-Policy Distillation (OPD) 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 RL and OPD post-training methods (RLHF, RLVR, OPD, etc.)

  • Build and evaluate reward models, verifiers, and LLM-as-judge pipelines
  • Develop conversational AI environments and simulations for healthcare RL training with synthetic data
  • Automate post-training loops with agents (auto-research)
  • 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
  • 5+ years or experience in NLP, LLM training, or RL
  • 2+ 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

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.

Why Join Our Team

Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare-only, safety-focused LLM - a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.

Work with the people shaping the future. Hippocratic AI was co-founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.

Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.

Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world-changing technologies - ensuring our platform is powerful, trusted, and truly transformative.

Apply for this position

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