AI & ML Software Engineering Intern
ModMed is seeking a highly motivated and research-driven AI/ML Intern to join our AI & Machine Learning team for Summer 2026. This internship will focus on advancing intelligent automation across the clinical and healthcare claims data lifecycle. The intern will work with cutting-edge generative AI and large language models (LLMs) to derive insights from claim data, evaluate claim states, and support the development of AI-driven decision support systems that recommend next-best actions throughout the claim workflow.
Your Role:
- Develop and evaluate machine learning and generative AI models for clinical and healthcare claims data.
- Apply LLM and NLP techniques to extract insights, classify claim states, and recommend operational actions.
- Support model serving, deployment, and end-to-end ML workflow integration with engineering teams.
- Collaborate with data scientists, ML engineers, and product teams to guide research direction and deliver prototypes.
Skills & Requirements:
- Currently pursuing a PhD or Master’s degree in Computer Science, Electrical/Computer Engineering, Statistics, Data Science, Computational Biology, or a related field (Required)
- Strong foundation in Machine Learning (Required)
- Strong foundation in Generative AI / Large Language Models (Required)
- Strong foundation in Statistics (Required)
- Strong foundation in Natural Language Processing (Required)
- Strong foundation in Deep Learning (Required)
- Experience with model serving, deployment, or end-to-end ML workflows (preferred)
- Demonstrated research experience (e.g., peer-reviewed publications, preprints, research projects) (Required)
- Experience working with healthcare claims or electronic health records (Preferred)
- Familiarity with AWS, Databricks, and distributed data environments (Preferred)
- Experience with LLM evaluation, safety, and fairness (Preferred)
- Exposure to Agentic AI or autonomous decision-making frameworks (Preferred)