This role focuses on applying state-of-the-art machine learning and large language models to complex clinical intake workflows to reduce administrative burden
Job Summary
This role focuses on applying state-of-the-art machine learning and large language models to complex clinical intake workflows to reduce administrative burden.
The successful candidate will lead the full ML lifecycle from experimentation and training to production deployment and monitoring while mentoring junior engineers.
Cohere Health is a recognized leader in AI-powered healthcare solutions, handling millions of prior authorization requests annually to streamline payer-provider collaboration.
Matching Summary
This role focuses on applying state-of-the-art machine learning and large language models to complex clinical intake workflows to reduce administrative burden.
Skills & Requirements
Must-have
7+ years applied machine learning experience
Deep expertise in Python and PyTorch
Hands-on deep learning model deployment
Cloud platform experience AWS preferred
Strong experimental design and evaluation skills
Nice-to-have
Experience with generative AI and RAG
Familiarity with healthcare claims and coding workflows
Experience with unstructured clinical data processing
AWS SageMaker Studio hands-on experience
Background in regulated healthcare environments
Key Requirements
Master's degree or PhD in Computer Science or related field
7+ years professional experience in applied ML or data science