What are the responsibilities and job description for the Senior Machine Learning Engineer position at WellRithms, Inc.?
Who We Are
WellRithms is a rapidly growing company boldly transforming the landscape of healthcare reimbursement. Our mission is to create transparency in the healthcare industry by educating and empowering payers, patients, and providers about proper medical billing payments through data, legal, and medical expertise. Our vision is to lead the healthcare industry to stop fraud and abuse in medical billing and give payers a reasonable-cost alternative. Our headquarters is in Portland, Oregon, but we now have employees from sixteen states and counting! Join a dynamic group of trailblazers paving the way for payment fairness in the healthcare industry.
Our Ideal Candidate
We are looking for a Machine Learning Engineer who wants to use Artificial Intelligence to fix a broken healthcare system for the benefit of all. The ideal candidate has a strong foundation in machine learning frameworks, experience working with healthcare data, and the ability to build scalable AI-driven solutions. You thrive in a collaborative environment, working cross-functionally to develop and deploy cutting-edge models that enhance billing accuracy, identify fraud, and contribute to new AI-powered products.
Responsibilities
WellRithms is a rapidly growing company boldly transforming the landscape of healthcare reimbursement. Our mission is to create transparency in the healthcare industry by educating and empowering payers, patients, and providers about proper medical billing payments through data, legal, and medical expertise. Our vision is to lead the healthcare industry to stop fraud and abuse in medical billing and give payers a reasonable-cost alternative. Our headquarters is in Portland, Oregon, but we now have employees from sixteen states and counting! Join a dynamic group of trailblazers paving the way for payment fairness in the healthcare industry.
Our Ideal Candidate
We are looking for a Machine Learning Engineer who wants to use Artificial Intelligence to fix a broken healthcare system for the benefit of all. The ideal candidate has a strong foundation in machine learning frameworks, experience working with healthcare data, and the ability to build scalable AI-driven solutions. You thrive in a collaborative environment, working cross-functionally to develop and deploy cutting-edge models that enhance billing accuracy, identify fraud, and contribute to new AI-powered products.
Responsibilities
- Build and optimize end-to-end machine learning pipelines for data ingestion, model training, validation, and deployment.
- Develop and optimize feature extraction methods to improve model performance and robustness.
- Design scalable Machine Learning (ML) pipelines integrating Object Character Recognition (OCR) and Natural Language Processing (NLP) technologies.
- Develop and deploy machine learning models for billing automation, cost prediction, and new product development.
- Develop APIs and microservices to enable seamless integration of AI models into existing business applications.
- Develop automated testing frameworks for ML models and integrate them into pipelines for seamless model deployment.
- Collaborate with cross-functional teams (product, sales, technology, operations, bill review, etc.) to align AI solutions with business goals.
- Optimize model performance through feature engineering and fine-tuning.
- Implement techniques to improve transparency in AI decision-making, ensuring traceability and model explainability.
- Ensure compliance with healthcare data regulations (e.g. HIPPA, HiTrust, etc.).
- 5 years of experience in Machine Learning (ML) model development and deployment.
- Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (AWS or similar).
- Expertise in designing and deploying NLP / OCR solutions for text extraction and processing.
- Experience with MLOps best practices for production-ready solutions.
- Strong understanding of database systems (primarily SQL) to support ML workflows.
- Strong problem-solving skills and the ability to work independently.
- Ability to deploy ML models as scalable APIs using Flask, FastAPI, or similar frameworks.
- Awareness of HIPPA, GDPR, and other healthcare specific regulations related to AI.
- Most importantly, you are curious and rebel against dogma.
