Senior Research Scientist, Pre-Training

Overview:

Senior Research Scientists at Hippocratic AI are presented with an exciting opportunity to pioneer scientific and technical innovation in pre-training Large Language Models (LLMs) for healthcare applications. Collaborating with a team of elite research scientists and engineers, you will lead efforts to develop and enhance LLMs tailored for the complexities of healthcare data. Your expertise in pre-training techniques will be instrumental in advancing our mission to revolutionize healthcare through AI technology.

We are currently seeking a Senior Research Scientist with a focus on pre-training LLMs to join our team. In this role, you will play a pivotal role in advancing pre-training techniques to address the unique challenges and requirements of healthcare data. Your contributions will drive the development of LLMs that are safe, efficient, and effective in healthcare applications.

Responsibilities:

- Lead research initiatives focused on pre-training Large Language Models (LLMs) for healthcare applications, with a focus on understanding and leveraging domain-specific knowledge.

- Develop novel algorithms and methodologies for pre-training LLMs using large-scale healthcare datasets, ensuring robustness, efficiency, and effectiveness.

- Collaborate with cross-functional teams to integrate pre-trained LLMs into various healthcare applications, including clinical decision support systems, natural language understanding interfaces, and predictive analytics tools.

- Stay abreast of the latest advancements in pre-training techniques, natural language processing (NLP), and healthcare informatics, incorporating relevant findings into research projects and product development efforts.

- Publish research findings in top-tier conferences and journals within the fields of artificial intelligence, machine learning, and healthcare informatics.

- Mentor junior researchers and contribute to a collaborative and intellectually stimulating research environment.

Required Qualifications:

- Ph.D. in Computer Science, Electrical Engineering, or related field.

- 5+ years of research experience with a focus on pre-training Large Language Models (LLMs).

- Strong publication record in top-tier conferences and journals.

- Deep understanding of machine learning, particularly in the areas of deep learning, neural networks, and transfer learning.

- Proficiency in programming languages commonly used in machine learning research, such as Python, and familiarity with deep learning frameworks such as TensorFlow or PyTorch.

- Experience working with large-scale datasets, particularly in the healthcare domain, and familiarity with relevant data preprocessing and cleaning techniques.

Other Requirements:

- Strong preference for candidates able to work onsite at our headquarters in Palo Alto, CA or Seattle although remote work throughout the U.S. will be considered.

About Hippocratic AI:

Hippocratic AI is dedicated to crafting a safety-focused Large Language Model (LLM) tailored specifically for the healthcare industry. We firmly believe in the potential of generative AI to vastly enhance global healthcare accessibility, but we are committed to building and testing our models responsibly. Inspired by the Hippocratic oath taken by doctors, we are developing a model that aspires to uphold the principle of "Do no Harm."