About the role
About Knowtex
Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we're experiencing explosive growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients.
Position Overview
We're seeking a Staff ML Engineer to advance our voice AI and clinical NLP capabilities. You'll work on cutting-edge problems in medical speech recognition, clinical language understanding, and agentic AI systems for healthcare.
Key Responsibilities
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Develop and optimize models for medical speech recognition across 200+ specialties
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Build clinical NLP pipelines for automated E&M coding and ICD-10 classification
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Implement note quality evaluation systems using LLMs and clinical rubrics
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Scale inference infrastructure using Triton Inference Server on AWS GovCloud
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Create specialty-specific language models for gastroenterology, dermatology, and emerging markets
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Design agentic AI systems for clinical decision support and documentation assistance
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Optimize model performance for real-time inference with sub-200ms latency requirements
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Collaborate with clinical teams to validate model outputs against MDM levels
