Hippocratic AI
This role focuses on building and maintaining the engineering pipeline for a recursive self-improvement system, ensuring training, evaluation, and deployment loops are fast, reliable, and trustworthy. The position requires strong machine learning engineering fundamentals combined with deep reinforcement learning expertise to design reward signals, mitigate feedback system failures, and stabilize non-stationary learning processes. The ideal candidate will collaborate with research and product teams to turn advanced methods into robust, shippable healthcare AI systems.
Headquarters
Palo Alto, California, United States
Company Size
1-10 employees
Founded
2023
Hippocratic AI is a safety-focused generative AI company that builds healthcare agents for health systems, payors, and pharma. Its platform has powered over 180 million clinical interactions across 1,000+ use cases with 60+ partners worldwide, and its AI agents do not diagnose or prescribe. Products include an AI Front Door, Nurse Co-Pilot, and the Polaris 5.0 model, supporting a wide range of specialties and organizational goals across the healthcare industry.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Hippocratic AI.
Hippocratic AI didn’t post a salary, so this is our estimate from similar listings.
20% above the average for this role
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