AI / Machine Learning Summer Intern (Graduate level)

Confirmed live in the last 24 hours

Capital Rx

Compensation

$40 USD

Denver, Colorado, United States; New York, New York, United States

Hybrid

Posted March 23, 2026

Job Description

About Judi Health

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:

Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.

Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.

Position Summary:

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineering Intern. We are looking for a graduate students with artificial intelligence / machine learning specialization to join us in investigating AI capabilities and tools to improve productivity and create magical experiences in our products and services.

In this role, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of the healthcare tech industry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to leadership.

Responsibilities:

Investigate and experiment with tools and methodologies leveraging Artificial Intelligence (AI) and machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.

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