What are the responsibilities and job description for the Senior Applied Scientists – Human Behavioral Science position at Hippocratic AI?
Overview
Senior Applied Scientists – Human Behavioral Science at Hippocratic AI have a dynamic opportunity to work with a team of world-class research scientists and engineers pursuing scientific and technical innovation to help solve complex challenges at the intersection of human behavior and Generative AI technology.
We are seeking Senior Applied Scientists with expertise in Human Behavioral Science to join our team and contribute to the development of Large Language Models (LLMs) aimed at creating disruptive, safety-focused generative intelligence for Healthcare. In this role, you will focus on how LLMs can model, interpret, and respond to complex human behaviors, emotions, and communication patterns—playing a crucial role in building empathetic, trustworthy Conversational AI products.
Our ongoing research areas encompass but are not limited to:
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.
References
Senior Applied Scientists – Human Behavioral Science at Hippocratic AI have a dynamic opportunity to work with a team of world-class research scientists and engineers pursuing scientific and technical innovation to help solve complex challenges at the intersection of human behavior and Generative AI technology.
We are seeking Senior Applied Scientists with expertise in Human Behavioral Science to join our team and contribute to the development of Large Language Models (LLMs) aimed at creating disruptive, safety-focused generative intelligence for Healthcare. In this role, you will focus on how LLMs can model, interpret, and respond to complex human behaviors, emotions, and communication patterns—playing a crucial role in building empathetic, trustworthy Conversational AI products.
Our ongoing research areas encompass but are not limited to:
- 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 and human-centric communication needs.
- Efficiency: Optimizing the computational efficiency and cost-effectiveness of LLM deployments.
- PhD in Computer Science, Psychology, Cognitive Science, Human Factors, or related field.
- 5 years of industry experience in NLP, human-computer interaction, and machine learning, with a focus on LLMs and behavioral science.
- 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.
- Familiarity with open-source LLM platforms and training stacks (e.g., HuggingFace, Deepspeed, etc.).
- Experience in healthcare or life sciences is a plus.
- Strong preference for individuals that can work onsite in our HQ located in Palo Alto, CA, but will consider individuals throughout the U.S.
- Senior Applied Scientists are directly responsible for improving the human interaction quality, safety, and intelligence of our systems by researching innovative behavioral-AI approaches and applying them into our models. Collaborating with accomplished doctoral candidates and some of the industry's brightest minds, you’ll engage in an ongoing learning journey that fosters collaboration and establishes enduring connections. This position not only facilitates individual career advancement but also plays a key role in propelling forward human-centric research and development initiatives.
- 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.
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.
References
- Polaris: A Safety-focused LLM Constellation Architecture for Healthcare, https://arxiv.org/abs/2403.13313
- Polaris 2: https://www.hippocraticai.com/polaris2
- Personalized Interactions: https://www.hippocraticai.com/personalized-interactions
- Human Touch in AI: https://www.hippocraticai.com/the-human-touch-in-ai
- Empathetic Intelligence: https://www.hippocraticai.com/empathetic-intelligence
- Polaris 1: https://www.hippocraticai.com/research/polaris
