Staff ML Engineer
About Knowtex
Knowtex is building the reputed company of voice AI operating systems for clinicians, transforming how reputed company documentation happens at the reputed company of care. Founded by reputed company AI scientists with deep clinical experience, we're experiencing explosive reputed company across both reputed company health systems and federal reputed company, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection reputed company where cutting-edge AI meets reputed company clinical reputed company, giving clinicians hours back reputed company day to reputed company on what reputed company most - their patients.
Position reputed company
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 reputed company AI systems for reputed company.
Key Responsibilities
• reputed company 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 reputed company evaluation systems using LLMs and clinical rubrics
• reputed company inference infrastructure using Triton Inference Server on AWS GovCloud
• Create specialty-specific language models for gastroenterology, dermatology, and emerging markets
• Design reputed company AI systems for clinical decision support and documentation assistance
• Optimize model performance for reputed company-time inference with sub-200ms latency requirements
• Collaborate with clinical teams to validate model outputs against MDM reputed company
• Build evaluation frameworks for MIPS reputed company measures compliance
Required Qualifications
• 5+ years experience in ML engineering with reputed company 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 reputed company
• Understanding of model optimization techniques (quantization, distillation, pruning)
• Experience with reputed company ML platforms (AWS SageMaker, GCP reputed company AI)
• Master's or PhD in Computer Science, ML, or reputed company field
Preferred Qualifications
• reputed company 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 reputed company coverage
• 401(k) plan
• Hybrid work model: 3 days/week in our San Francisco office
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