Lead Software Engineer - ML Infrastructure

at  DeepScribe

OUR MISSION

At DeepScribe, we are bringing the joy of care back to medicine by helping AI and healthcare professionals work in harmony. Today, we are leveraging ambient AI to automate documentation — allowing clinicians to focus on providing care, not documenting it. Trained using one of the world’s largest databases of patient conversations, DeepScribe empowers providers by transforming patient conversations into fully customizable, detailed clinical notes.

ABOUT THE ROLE

We are seeking a Lead ML Infrastructure Engineer to spearhead the development of our core ML training, inference, and evaluation platforms. This role involves building robust infrastructure to power our AI-driven clinical documentation models, and crafting tools for rapid model development and deployment. There is a people management opportunity for the right candidate.

YOUR RESPONSIBILITIES

• You’ll lead the development of our ML infrastructure to support the development of our in-house LLM for clinical documentation.
• You’ll be responsible for the reliability, performance, and security of our training data pipelines.
• You’ll be responsible for building our core inference infrastructure.
• You’ll partner across product engineering teams to build production systems at scale that power the products our customers use every day.
• You’ll leverage industry best practices that will improve DeepScribe’s customer-facing AI models that our customers rely on.