Job Description: Applied Scientist - Generative AI for Healthcare

Position Overview

• Location Type: Onsite (Palo Alto, CA) - Hybrid considered
• Job Type: Full-Time
• Salary: Not specified

Hippocratic AI is building safety-focused large language models (LLMs) for the healthcare industry. Our team comprises ex-researchers from Microsoft, Meta, Nvidia, Apple, Stanford, John Hopkins, and HuggingFace, reinventing the next generation of foundation model training and alignment to create AI-powered conversational agents for real-time patient-AI interactions.

About Us

Hippocratic AI is focused on developing safety-focused LLMs for the healthcare industry. The team includes experts from leading technology companies and universities, dedicated to creating AI-powered conversational agents for patient-AI interactions.

Applied Scientists Role

Applied Scientists at Hippocratic AI provide a dynamic opportunity to work with a team of world-class research scientists and engineers, pursuing scientific and technical innovation to solve complex challenges through Generative AI technology. We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of 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.

Responsibilities

• Develop, improve, and explore the capabilities of Large Language Models (LLMs).
• Contribute to research and development of innovative AI solutions.
• Apply AI solutions into our models.
• Collaborate with doctoral candidates and industry experts.
• Research ongoing areas:
  • 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.
  • Specialization: Tailoring LLMs to meet domain-specific requirements.
  • Efficiency: Optimizing the computational efficiency and cost-effectiveness of LLM deployments.

Requirements

• Education: MS in Computer Science, Electrical Engineering, or related field.
• Experience: 3+ years of industry experience in NLP and machine learning, with a focus on LLMs.
• Programming Skills: Strong programming skills in Python.
• Deep Learning Frameworks: Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Data Processing: Experience with large-scale data processing and distributed computing.
• LLM Training: Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, etc.
• Platform Experience: Experience with open-source LLM platforms and training stacks (e.g., HuggingFace, Deepspeed, etc.).
• Healthcare/Life Sciences (Plus): 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.
• Hybrid work arrangements considered.

Application Instructions

• Not specified in the provided text. Please refer to Hippocratic AI's career website for application details.