Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. We are seeking an ML Scientist (Research) to advance Knowtex’s voice AI and clinical NLP capabilities at the frontier of healthcare AI, focusing on developing and evaluating novel machine learning approaches for medical speech recognition and clinical language understanding.
Responsibilities:
- Develop and optimize models for medical speech recognition across 200+ specialties
- Research and implement clinical NLP pipelines for automated E&M coding and ICD-10 classification
- Design and evaluate note quality scoring systems using LLMs and structured clinical rubrics
- Create specialty-specific language models (e.g., gastroenterology, dermatology, emerging markets)
- Design and prototype agentic AI systems for clinical decision support and documentation assistance
- Optimize models for real-time inference with sub-200ms latency requirements
- Build rigorous evaluation frameworks for clinical accuracy, MDM validation, and MIPS quality measure compliance
- Collaborate with clinical experts to validate outputs and ensure alignment with regulatory and documentation standards
- Transition research findings into production-ready solutions in partnership with applied ML and platform engineering teams