Senior Applied Scientist

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.

Applied Scientists at Hippocratic provide a dynamic opportunity to work with a team of world-class research scientists and engineers, who are pursuing scientific and technical innovation to help solve complex challenges through the use of Generative AI technology.

We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of Large Language Models (LLMs) aimed at creating disruptive safety-focused generative intelligence for Healthcare. As an Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of LLMs to solve complex real-world problems geared towards building Conversational AI products.

• Post-training: Instruction tuning and reinforcement learning from human and AI feedback.

• Multilinguality: Post-training LLMs to talk fluently in any language, with medical accuracy and safety.

• Continual Learning: Enabling LLMs to evolve and adapt over time and learn from previous experiences over human interactions.

• Specialization: Tailoring LLMs to meet domain-specific requirements.

• Efficiency: Optimizing the computational efficiency and cost-effectiveness of LLM deployments.

Must-Have:

• MS in Computer Science, Electrical Engineering, or related field.

• 3+ years of industry experience in NLP and machine learning, with a focus on LLMs.

• Strong programming skills in Python.

• Experience with deep learning frameworks such as PyTorch or TensorFlow.

• Experience with large-scale data processing and distributed computing.

• Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, etc.

• Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.).

• Experience in healthcare or life sciences is a plus.

Nice-to-Have:

Strong preference for individuals that can work onsite in our HQ located in Palo Alto, CA, but will consider individuals throughout the U.S.

Applied Scientists are directly responsible for improving the product, safety, and intelligence of our system by researching innovative AI solutions and applying them into our models. Collaborating with accomplished doctoral candidates and some of the industry's brightest minds, Applied Scientist partake in an ongoing learning journey that fosters collaboration and establishes enduring connections. This position not only facilitates individual career advancement but also plays a crucial role in propelling forward innovative research and development initiatives.

References
1. Polaris: A Safety-focused LLM Constellation Architecture for Healthcare, https://arxiv.org/abs/2403.13313
2. Polaris 2: https://www.hippocraticai.com/polaris2
3. Personalized Interactions: https://www.hippocraticai.com/personalized-interactions
4. Human Touch in AI: https://www.hippocraticai.com/the-human-touch-in-ai
5. Empathetic Intelligence: https://www.hippocraticai.com/empathetic-intelligence
6. Polaris 1: https://www.hippocraticai.com/research/polaris
7. Research and clinical blogs: https://www.hippocraticai.com/research

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.