Machine Learning Engineer - Healthcare & MedTech - Jobot : Job Details

Equity Up to 1.5%! Be apart of a cutting edge MedTech Start-Up!This Jobot Job is hosted by: Kevin ShilneyAre you a fit? Easy Apply now by clicking the Apply buttonand sending us your resume.Salary: $150,000 - $200,000 per yearA 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 DetailsResponsibilities

• 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

• Education & Experience:
• 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.

Interested in hearing more? Easy Apply now by clicking the Apply button.