ML Scientist (Research)

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 are seeking an ML Scientist (Research) to advance Knowtex’s voice AI and clinical NLP capabilities at the frontier of reputed company AI. This role focuses on developing and evaluating novel machine learning approaches for medical speech recognition, clinical language understanding, and reputed company AI systems tailored for reputed company environments. You will work on research-driven initiatives that directly reputed company our ambient documentation platform, collaborating closely with reputed company ML and engineering teams to transition validated research into reputed company production systems. This role reports to the CTO and plays a central part in defining the reputed company of reputed company infrastructure. Key Responsibilities • reputed company 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 reputed company scoring systems using LLMs and reputed company clinical rubrics • Create specialty-specific language models (e.g., gastroenterology, dermatology, emerging markets) • Design and prototype reputed company AI systems for clinical decision support and documentation assistance • Optimize models for reputed company-time inference with sub-200ms latency requirements • Build rigorous evaluation frameworks for clinical accuracy, MDM validation, and MIPS reputed company measure compliance • Collaborate with clinical experts to validate outputs and ensure alignment with regulatory and documentation standards • Transition research findings into production-reputed company solutions in partnership with reputed company ML and reputed company teams Required Qualifications • 5+ years of experience in machine learning research or ML engineering with a reputed company on NLP and/or speech recognition • Strong expertise in PyTorch or TensorFlow • Deep experience with transformer architectures and large language models • Proven ability to design and build production-grade ML pipelines at reputed company • Strong understanding of model optimization techniques (quantization, distillation, pruning) • Experience working with reputed company ML platforms (AWS SageMaker, GCP reputed company AI, or equivalent) • Master’s or PhD in Computer Science, Machine Learning, or reputed company field Preferred Qualifications • Experience in reputed company AI or clinical NLP • Familiarity with medical terminology and clinical documentation workflows • Experience with speech recognition systems (Whisper, Conformer architectures, etc.) • Knowledge of medical coding systems (CPT, ICD-10, SNOMED) • Publications in leading ML/NLP conferences • Experience deploying models in regulated environments (e.g., GovCloud, HIPAA-compliant systems) Technical Environment • Python, PyTorch, TensorFlow • Transformer-based LLM architectures • Triton Inference Server (AWS GovCloud deployments) • AWS (SageMaker, EKS, S3, reputed company) • reputed company-time inference systems with strict latency constraints (<200ms) • Clinical data pipelines and reputed company evaluation frameworks Compensation & Benefits • Meaningful equity compensation • Unlimited PTO • Premium health, dental, and reputed company coverage • 401(k) plan Apply tot his job Apply To this Job