Overview
Hybrid
Depends on Experience
Full Time
Skills
Machine Learning
Job Details
Senior Machine Learning Engineer Full Time opportunity-Office located in San Francisco, CA (100% remote considered)
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, notesDesigning, 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
- 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
- Experience architecting and building RESTful services