ML Scientist (Research)

Role Overview

We are seeking an ML Scientist (Research) to advance Knowtex’s voice AI and clinical NLP capabilities at the frontier of healthcare AI. This role focuses on developing and evaluating novel machine learning approaches for medical speech recognition, clinical language understanding, and agentic AI systems tailored for healthcare environments.

What You Will Do

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, and design and evaluate note quality scoring systems using LLMs and structured clinical rubrics.

Why It Might Be a Fit

This role requires 5+ years of experience in machine learning research or ML engineering with a focus on NLP and/or speech recognition, strong expertise in PyTorch or TensorFlow, and deep experience with transformer architectures and large language models.

Requirements

• 5+ years of experience in machine learning research or ML engineering with a focus 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 scale
• Strong understanding of model optimization techniques (quantization, distillation, pruning)
• Experience working with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or equivalent)
• Master’s or PhD in Computer Science, Machine Learning, or related field

Benefits

• Meaningful equity compensation
• Unlimited PTO
• Premium health, dental, and vision coverage
• 401(k) plan