Machine Learning Engineer - Medical Billing / Reimbursement Required

Jobot; Wilmington (NC); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity options

Innovative work environment

Growth opportunities

Collaborative team culture

Job summary

Join a cutting-edge startup on a mission to revolutionize medical billing and reimbursement through AI. As a Machine Learning Engineer, you will develop innovative machine learning models to optimize claims processing and ensure accurate reimbursements. Collaborate with a passionate team of professionals dedicated to improving healthcare efficiency. This role offers the opportunity to work with state-of-the-art technology and make a significant impact in the healthcare industry. If you are eager to tackle real-world challenges and drive meaningful change, this is the perfect opportunity for you.

Qualifications

• 3+ years of experience in machine learning focused on healthcare applications.
• Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch.

Responsibilities

• Develop and deploy machine learning models for billing discrepancies.
• Collaborate with teams to create AI-driven solutions for healthcare challenges.

Skills

Python

TensorFlow

PyTorch

NLP

Problem-solving

Education

Bachelor’s degree in Computer Science

Master’s degree in Data Science

PhD in related field

Tools

AWS

GCP

Azure

Job description

Machine Learning Engineer - Medical Billing / Reimbursement Required

4 days ago Be among the first 25 applicants

This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $250,000.00/yr

Equity Up to 1.5%! Be part of a cutting edge MedTech Start-Up! Must have Medical Billing / Reimbursement Experience

This Jobot Job is hosted by Kevin Shilney

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

A Bit About Us

We are a cutting-edge startup on a mission to revolutionize medical billing and reimbursement using AI. Studies show that nearly 20% of medical bills contain errors, leading to unnecessary costs for patients, providers, and insurers. Our goal is to fix this inefficiency by leveraging advanced machine learning models to detect inaccuracies, optimize claims processing, and ensure fair reimbursements. By combining artificial intelligence with deep industry expertise, we’re building the future of healthcare payments—one where accuracy, transparency, and trust are the standard.

Why join us?

• Innovative Impact: Be part of a company that’s tackling one of the biggest challenges in healthcare, using AI to drive meaningful change.
• Cutting-Edge Technology: Work with state-of-the-art machine learning models, NLP, and AI-driven automation to improve medical billing processes.
• Industry Expertise: Collaborate with a team of healthcare, AI, and engineering professionals who are passionate about making a real-world difference.
• Growth & Ownership: As an early team member, you’ll have significant influence over our technical direction, shaping the foundation of our AI-driven solutions.
• Mission-Driven Work: Help reduce financial burdens on patients and improve efficiency for providers and payors by ensuring accurate billing and reimbursement.

Job Details

Responsibilities

• Develop and deploy machine learning models to identify billing discrepancies, optimize claims processing, and improve reimbursement accuracy.
• Work with structured and unstructured healthcare data, including claims data, EHR records, and provider/payor transactions.
• Build and refine NLP models for medical coding interpretation and automated claim validation.
• Collaborate with cross-functional teams, including data scientists, engineers, and healthcare domain experts, to translate industry challenges into AI-driven solutions.
• Optimize algorithms for scalability and real-time processing of medical claims.
• Ensure compliance with healthcare regulations (HIPAA, FHIR, HL7) while handling sensitive patient data.
• Continuously research and integrate the latest advancements in AI and machine learning for healthcare applications.

Qualifications

• 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.

Technical Skills

• Strong proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
• Experience working with healthcare data (EHR, claims, medical coding, provider/payor processing).
• Proficiency in NLP and deep learning techniques for text processing in medical billing and coding.
• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI deployments.
• Experience with healthcare interoperability standards (FHIR, HL7) is a plus.

Soft Skills & Additional Competencies

• Strong problem-solving skills and ability to translate complex healthcare challenges into AI-driven solutions.
• Ability to work in a fast-paced startup environment with a high degree of ownership.
• Passion for improving healthcare efficiency through AI-driven automation.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.