Senior ML Engineer

April 11

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Augmedix

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Rehumanizing Healthcare

Virtual Medical Documentation • Live Clinical Support • Hospitals • Health Systems • Physician Groups

501 - 1000

Description

• Build NLP models using audio clips, transcriptions, patient responses, notes • Designing, development and deployment of custom LLMs • Improve processes and tools to generate ground truth for building models • Deploy models in production at scale • Build ML pipelines to automate model serving steps • Work with product team to brainstorm new areas for AI within our product capabilities • Provide feedback to UX team to change our application workflow to improve AI accuracy

Requirements

• MS in computer science or data science (or related field); PhD in NLP preferred • 5+ years experience with MLOps and deploying ML models in production environments • Demonstrated experience with LLMs, both prompt design and fine-tuning • Demonstrated 5+ years experience training variety of NLP models • Demonstrated experience using TensorFlow, PyTorch, Sagemaker, Vertex AI, or related platforms • Demonstrated experience with LLM fine-tuning, RAG, model distillation, reinforcement learning • Bonus for Spark, Kubeflow, Apache Beam development experience • Experience with training Automatic Speech Recognition (ASR) is a plus • Experience with Electronic Health Records (EHR) is a plus • Strong written and verbal communication skills • Experience architecting and building RESTful services • Ability to learn, evaluate, and adopt new technologies

Benefits

• Relieve clinicians of administrative burden • Reduce burnout • Increase clinician efficiency • Improve patient access