Senior ML Engineer

The Senior Machine Learning Engineer will build and deploy NLP models, including LLMs, to understand patient-doctor conversations, identify relevant medical terminology and phrases. This information will be used to build ML-based services and applications that will enable doctors and clinicians to be more efficient and to recommend actions on how to improve patient health.

Responsibilities:

• 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

$180,000 - $350,000 a year

Salary range is listed above. There are several factors that determine final pay for a position including location and experience. Total compensation will typically include salary + performance bonus + equity.