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
Develop and optimize models for medical speech recognition across 200+ specialties
Build clinical NLP pipelines for automated E&M coding and ICD-10 classification
Implement note quality evaluation systems using LLMs and clinical rubrics
Scale inference infrastructure using Triton Inference Server on AWS GovCloud
Create specialty-specific language models for gastroenterology, dermatology, and emerging markets
Design agentic AI systems for clinical decision support and documentation assistance
Optimize model performance for real-time inference with sub-200ms latency requirements
Collaborate with clinical teams to validate model outputs against MDM levels
Build evaluation frameworks for MIPS quality measures compliance
Required Qualifications
5+ years experience in ML engineering with focus on NLP/speech recognition
Strong expertise in PyTorch or TensorFlow
Experience with transformer architectures and large language models
Proficiency in building production ML pipelines at scale
Understanding of model optimization techniques (quantization, distillation, pruning)
Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI)
Master's or PhD in Computer Science, ML, or related field
Preferred Qualifications
Healthcare or clinical NLP experience
Familiarity with medical terminology and clinical documentation
Experience with speech recognition systems (Whisper, Conformer architectures)
Knowledge of medical coding systems (CPT, ICD-10, SNOMED)
Publications in ML/NLP conferences
Benefits
Meaningful equity compensation
Unlimited PTO
Premium health, dental, and vision coverage
401(k) plan
Hybrid work model: 3 days/week in our San Francisco office