About this opportunity
Neurex AI Limited lists this Machine Learning Engineer, Healthcare NLP New Jersey or Remote opportunity in workfromhome, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Machine Learning Engineer, Healthcare NLP
Build NLP systems that understand and extract insights from clinical text.
New Jersey or Remote Research & Development Full-Time
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
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.