Senior Machine Learning Engineer for Clinical Data

Improve Patient Outcomes with AI-Powered Insights

We are seeking a highly skilled Applied Machine Learning Scientist to join our team. In this role, you will leverage your extensive experience in building and improving models across structured + unstructured clinical data to drive real-world impact.

Key Responsibilities :

• Ship a prompted language model baseline & fine-tuned small language model or BERT-class model, comparing , cost, and latency.
• Build light RAG / explainability : return the strongest supporting sentence / span from notes that justifies the classification.
• Leverage domain NER to target specific acute phenotypes and improve downstream classifiers.
• Distill / quantize to hit latency / cost SLOs while preserving recall; hand off clean checkpoints / configs / eval harnesses.
• Work hands-on in Python, Jupyter, Git, SQL, MLflow; AWS (EC2 / ECS / S3) or equivalent cloud.

Requirements :