Senior Applied Scientist, Reinforcement Learning

Menlo Park, CA

About the role

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 [email protected].

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.

About Hippocractic AI

Hippocratic AI presents a platform that develops safety-focused large language models tailored for healthcare settings. The company offers AI agents designed to engage in non-diagnostic, patient-facing tasks such as preoperative preparation, post-discharge follow-up, and chronic-care management. Its architecture is built on a multi-agent system that aims to reduce clinician burden by managing routine patient interactions, while a clinician-driven test framework ensures service readiness. The service includes an “agent store” where licensed clinicians can design and deploy new agents across diverse specialties, and health systems, payers, or providers can deploy them to support outreach and engagement workflows.

Other roles at Hippocractic AI

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Job details

Location

Menlo Park, CA

Company

NameHippocractic AI
IndustryArtificial Intelligence (AI)
Team Size3

Funding

Total raised

$404M

Last stage

Growth

Investors

Andreessen Horowitz
General Catalyst
Kleiner Perkins
AAvenir Growth
NNVIDIA NVentures

Founders

MS

Munjal Shah

Co-Founder & CEO

LinkedIn
VP

Vishal Parikh

Co-Founder & Chief Product Officer

SM

Subhabrata Mukherjee

Co-Founder & Chief Science Officer

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.