Senior Applied Scientist, Reinforcement Learning
At a glance
Senior AI Research role at Hippocratic AI. Menlo Park · full-time · no salary stated · we estimate $161,900–$248,750 across the United States.
Hippocratic AI has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Create RL and on-policy distillation approaches for post-training, including RLHF and RLVR
- Build and test reward models, verifiers and LLM-as-judge workflows
- Create simulated healthcare conversations and synthetic training data for reinforcement learning
- Automate post-training experiments with agents and investigate which methods improve results
- Work with research, engineering and clinical teams on the post-training pipeline
What you bring
- A master's or doctoral degree in computer science or a related discipline
- At least three years in NLP, LLM training or reinforcement learning, including one year in LLM post-training RL
- Experience training LLMs with at least fifty billion parameters across multiple nodes
- Strong Python and PyTorch skills, plus experience with RLHF, RLVR, LLM-as-judge or comparable methods
Who this fits
This senior role suits someone focused on LLM reinforcement learning and post-training who can own the pipeline from method design through evaluation. You are expected to work onsite in the Menlo Park office five days a week.
From the employer
About Us
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.
Location Requirement
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.
About the Role
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.
What You’ll Do
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
What You Bring
MS or PhD in CS or relevant field
3+ years or experience in NLP, LLM training, or RL
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
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.
Why Join Hippocratic AI
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.
Equal Opportunity
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
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