ML Engineer Intern

XIFIN • San Diego, CA

5h • Onsite

About The Position

The Machine Learning (ML) Engineer Intern will support the design, development, validation, and deployment of machine learning solutions that enhance automation and decision‑making within XiFin’s healthcare revenue cycle workflows. This role provides hands‑on experience working with real‑world AI systems, including predictive modeling, natural language processing (NLP), model explainability, and production‑level ML integration.

Working alongside experienced ML engineers and data scientists, the intern will contribute to high‑value use cases such as prior authorization prediction, denial classification, appeals automation, and AI‑driven workflow optimization. Responsibilities may include preparing and transforming datasets, evaluating model performance, testing model outputs, and supporting the operationalization of ML capabilities within enterprise systems.

The ideal candidate is curious, detail‑oriented, and eager to learn how data engineering powers business intelligence and AI‑driven decision‑making. This role offers valuable experience for those interested in building a career in data engineering or data infrastructure.

Requirements

• Currently pursing a degree in Computer Science, Data Science, Engineering, or related field
• Strong Python skills (pandas, scikit-learn)
• Proficient in SQL
• Solid understanding of machine learning fundamentals and statistics

Nice To Haves

• Experience with PyTorch or TensoFlow preferred
• AWS or Azure cloud exposure preferred

Responsibilities

• Extract, clean, and preprocess structured and unstructured healthcare data.
• Engineer features and validate datasets for downstream ML tasks.
• Develop and evaluate machine learning models (e.g., classification, regression, NLP).
• Conduct cross‑validation, hyperparameter tuning, and performance benchmarking.
• Perform model explainability analysis using SHAP or similar tools.
• Investigate misclassifications, edge cases, and potential data confounders.
• Assist with model containerization and API integration (FastAPI / REST).
• Support deployment workflows in AWS or Azure cloud environments.
• Implement logging, monitoring, and performance evaluation processes.
• Document technical findings and present insights to technical and business stakeholders.

Benefits

• Comprehensive health benefits including medical, dental, vision, and telehealth
• 401(k) with company match and personalized financial coaching to support your financial future
• Health Savings Account (HSA) with company contributions
• Wellness incentives that reward your preventative healthcare activities
• Tuition assistance to support your education and growth
• Flexible time off and company-paid holidays
• Social and fun events to build community at our locations!

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: No Education Listed