About Hippocratic AI

Hippocratic AI is building a safety focused large conversational language model (LCLM) for the healthcare industry. We believe that generative AI has the potential to massively increase healthcare access over the world but has to be built and tested responsibly. Like the Hippocratic oath that doctors take, we are building a model that aims to “Do no Harm.”

Overview

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 Conversational Language Models (LCLMs) 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 LCLMs to solve complex real-world problems geared towards building Conversation AI products. Our ongoing research areas encompass but are not limited to:

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

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

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

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

Required Qualifications

• PhD in Computer Science, Electrical Engineering, or related field

• Industry experience in NLP and machine learning

• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch

• Experience with large-scale data processing and distributed computing

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

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

• Experience in healthcare or life sciences is a plus

Other Requirements

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

Responsibilities

As integral members of our dynamic startup team, Applied Scientists translate inquiries and theories into tangible outcomes. 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.