Machine Learning Engineer — Medical Billing & Reimbursement

Clarify AI; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Clarify AI is seeking a Machine Learning Engineer to transform the medical billing and reimbursement workflow. You will build and deploy models that detect billing discrepancies, optimize claims processing, and improve reimbursement accuracy using structured and unstructured healthcare data.

You will develop NLP solutions for medical codes, ensure real-time processing, and maintain HIPAA compliance while collaborating with cross-functional teams to integrate ML into production systems.

Qualifications

• 3+ years of experience in machine learning, AI, or data science with a focus on healthcare applications.
• Experience with healthcare data (claims data, medical records) and NLP for billing, coding, or clinical processing.
• Familiarity with cloud platforms (AWS, GCP, Azure) for scalable ML.
• Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch).
• Knowledge of healthcare regulations (HIPAA) and standards like FHIR/HL7.

Responsibilities

• Develop and deploy ML models to identify billing discrepancies, optimize claims processing, and improve reimbursement accuracy.
• Work with structured and unstructured healthcare data to build robust models.
• Build and refine NLP models for medical codes and automate claim validation.
• Optimize algorithms for scalability and real-time processing of medical claims.
• Ensure compliance with HIPAA and healthcare standards; collaborate with teams to integrate ML into production systems.

Skills

Python

Healthcare data experience

NLP

Cloud platforms

HIPAA knowledge

Education

Bachelor's or Master's in CS/DS/AI

Tools

TensorFlow

PyTorch

Hugging Face

Job description

Machine Learning Engineer — Medical Billing & Reimbursement

AI & Engineering Remote — U.S. Full Time

Job Description

We are looking for a Machine Learning Engineer to help us revolutionize the medical billing and reimbursement process. In this role, you will develop and deploy advanced machine learning models that identify billing discrepancies, optimize claims processing, and improve reimbursement accuracy. You will work with both structured and unstructured healthcare data, applying NLP and ML techniques to automate and enhance critical workflows in the healthcare billing system.

• Develop and deploy ML models to identify billing discrepancies, optimize claims processing, and improve reimbursement accuracy.
• Work with structured and unstructured healthcare data (e.g., claims data, EHR records, provider/payor transactions) to build robust models.
• Build and refine NLP models for interpreting medical codes and automating the claim validation process.
• Optimize algorithms for scalability and ensure real-time processing capabilities for medical claims.
• Ensure compliance with healthcare regulations (e.g., HIPAA, FHIR, HL7) to safeguard patient data and meet industry standards.
• Collaborate with cross-functional teams to integrate ML solutions seamlessly into production systems and workflows.

Qualifications & Skills

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field (PhD is a plus).
• 3+ years of experience in machine learning, AI, or data science, with a focus on healthcare applications.
• Experience with healthcare data (e.g., claims data, medical records) and NLP techniques for medical billing, coding, or clinical data processing.
• Familiarity with cloud platforms (AWS, GCP, Azure) for building scalable ML solutions.
• Strong programming skills in Python and experience with ML frameworks like TensorFlow, PyTorch, or Hugging Face.
• Knowledge of healthcare regulations (e.g., HIPAA) and standards like FHIR and HL7.

Location & Work Authorization

This is a U.S.-based role. Candidates must be located in the United States and authorized to work in the U.S. without current or future employment sponsorship.

Interested in this role?

Tell us about your background and why you'd like to join Clarify AI.