Machine Learning Engineer, Healthcare NLP
Build NLP systems that understand and extract insights from clinical text.
The Opportunity
Neurex AI is building applied AI systems that operate inside real healthcare workflows. This role is for NLP specialists who want to tackle the unique challenges of clinical language understanding.
You will build systems that extract meaning from clinical notes, medical records, and healthcare documentation at scale.
What You Will Do
- Design and implement NLP pipelines for clinical text understanding
- Build named entity recognition systems for medical concepts
- Develop text classification models for healthcare documents
- Create information extraction systems for structured data from unstructured notes
- Fine-tune and deploy large language models for healthcare applications
- Work with clinical experts to validate model outputs and improve accuracy
What You Will Build
- Clinical NLP pipelines for entity extraction and relation mapping
- Document classification systems for medical records
- Semantic search engines for healthcare knowledge bases
- LLM-powered summarization and generation systems
- Quality assurance tools for clinical documentation
Who You Are
- Strong foundation in NLP and machine learning
- Experience with transformer models and modern NLP architectures
- Comfortable working in ambiguous, real-world environments
- Familiarity with clinical terminologies (ICD, CPT, SNOMED) is a plus
- Experience with Python, PyTorch/TensorFlow, and NLP libraries
- Clear communicator with high standards
Why Neurex AI
- AI that is deployed, not demoed
- High ownership and autonomy
- Real impact in healthcare
- Opportunity to shape products, systems, and culture
- Direct collaboration with founders and senior leadership