# Applied Scientist, Reinforcement Learning (Mid, Senior, Staff) at Hippocratic AI

- Company: Hippocratic AI
- What the company does: Hippocratic AI builds the safest generative AI healthcare agent for health systems, payors, and pharma. Over 180 million clinical interactions across 1,000+ use cases with 60+ partners worldwide. Backed by General Catalyst, Kleiner Perkins and a16z.
- Company website: https://www.hippocraticai.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Menlo Park, CA
- Work setup: On-site
- Posted: 2026-07-28
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/hippocratic%20ai/7f0736ef-49ba-44a8-a734-bf26b643a690
- Page: https://www.1752.vc/careers/jobs/hippocratic-ai-applied-scientist-reinforcement-learning-mid-senior-staff/

## About the role

Design and implement RL and OPD post-training methods including RLHF, RLVR, on-policy distillation, and novel approaches tailored to healthcare AI—selecting the right methods for different clinical reasoning and safety challenges Build and evaluate reward models, verifiers, and LLM-as-judge pipelines that provide reliable training signals for post-training, ensuring they capture what truly matters in clinical contexts (accuracy, safety, patient experience)

## What they're looking for

- Master's degree in Computer Science, Machine Learning, or a related field
- 5+ years of professional experience in NLP, LLM training, or reinforcement learning
- 2+ years of hands-on experience with RL for LLM post-training
- Proficiency in Python and PyTorch for large-scale training
- Demonstrated experience with RLHF, RLVR, LLM-as-judge, or similar post-training methods
- Experience training or fine-tuning models at scale (50B+ parameters)

Tags: Research & Development