This role involves developing advanced speech processing pipelines and quality assurance systems for medical dictation workflows; researching offline speech processing capabilities and edge computing solutions for clinical environments; and tackling complex challenges unique to healthcare and radiology, such as converting dictated speech into structured data, enabling real-time clinical decision support, or building voice interfaces. The Research Scientist will also work closely with vendor relationships to enhance integration and performance metrics and drive applied research by staying current with cutting-edge research in speech and audio ML, designing experiments, and prototyping ideas that can be translated into production. The position requires an MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field and 2+ years of post-degree experience building models in ML Speech technologies. Experience deploying speech or audio models in production settings and working with large audio datasets is expected.