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.
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 Palo Alto office five days a week, unless otherwise specified.
What You'll Do
Design, Develop, Evaluate and update data-driven models for Speech First applications.
Participate in Research activities including the application and evaluation of speech technologies in the medical domain.
Research and implement 0 to 1 SOTA models for conversational speech recognition.
Must‑Have:
PhD with 3+ years of experience in Speech Recognition or related field or Masters with 5+ years of hands on experience with ASR.
Experience Designing and developing algorithms for accurate and efficient speech recognition for both Streaming and Non-Streaming use cases.
Experience with Training, evaluating, and optimizing ASR models for various factors including accuracy, latency, and resource utilization.
Experience with Preprocessing and curating large speech datasets for training models.
Strong programming skills with working knowledge of Python & C++
Comfort working in a Linux/ Unix command-line environment.
Team player with good communication skills (oral and written)
Nice‑to‑Have
Experience with building 0 to 1 ASR solutions, including setting up data pipelines, SOTA model architectures and evaluation pipelines.
Hands-on Experience with ESPNET, Kaldi and Pytorch.
Experience with CUDA.
Experience with leveraging LLMs for enhanced speech recognition tasks.
Experience with Neural/ E2E Endpointer modeling.
Publications in tier 1 journals in the field of speech recognition/ NLP.
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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