Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.
Why Join Our Team:Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.
Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.
Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.
World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.
For more information, visit www.HippocraticAI.com.
We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description
About the Role:
We are seeking a motivated Applied Scientist Intern with a background in psychology and artificial intelligence to help enhance the psychological and emotional intelligence of our healthcare-focused LLM. This role involves research, experimentation, and collaboration to improve the safety, empathy, and human-centric capabilities of our models.
You will work closely with cross-functional teams, including AI researchers, clinicians, and product teams, to design and refine solutions that address the behavioral and cognitive aspects of healthcare delivery.Key Responsibilities:
Conduct research on incorporating psychological principles into AI, focusing on empathy, contextual awareness, and communication.
Develop and test reinforcement learning techniques to improve the AI’s emotional intelligence and patient interaction capabilities.
Collaborate with product teams to align LLM outputs with behavioral health workflows and healthcare best practices.
Assist in creating evaluation frameworks for the model’s psychological safety and effectiveness in behavioral health scenarios.
Experiment with integrating behavioral insights into AI responses for improved patient engagement and satisfaction.
Analyze feedback from healthcare professionals to identify areas of improvement in model behavior and output.
Qualifications:
Education: Currently pursuing or recently completed a Master’s or Ph.D. in Psychology, Cognitive Science, AI, or a related field.
AI Knowledge: Familiarity with natural language processing (NLP), reinforcement learning, and fine-tuning large language models.
Psychology Expertise: Strong understanding of human behavior, health literacy, and psychological safety principles.
Technical Skills: Experience with Python, TensorFlow, PyTorch, or other AI/ML frameworks.
Research Focus: Proven ability to conduct research and present findings in clear, actionable ways.
Preferred Qualifications:
Experience working on projects that bridge psychology and AI, such as conversational agents or behavioral health tools.
Familiarity with healthcare data standards (e.g., FHIR, HL7).
Start-up or fast-paced research environment experience.