Intern, R&D Undergraduate Year-Round - Precision Discovery and Retrieval, Onsite

Intern, R&D Undergraduate Year-Round - Precision Discovery and Retrieval, Onsite

The Precision Discovery and Retrieval department at Sandia National Laboratories invites applications for a student intern to participate in applied Artificial Intelligence research and development. This internship is for a motivated and enthusiastic individual with excellent communication skills and who desires to gain experience in a highly collaborative research environment. The successful applicant will be exposed to a wide range of Artificial Intelligence research and applications at Sandia and will have a strong project-based experience working directly with Sandia staff scientists.

Resume-building direct research and development experience with a Sandia staff member

Exposure to Sandia R&D activities through group meetings, seminars, and interactions with other department staff

Networking with world-class scientists and engineers

Opportunities to author and publish technical articles with Sandia staff members

Poster presentation and/or software demonstration experience

Due to the nature of the work, the selected applicant must be able to work onsite.

At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here (https://(Use the "Apply for this Job" box below).).

Currently attending and enrolled full time in an accredited undergraduate program

Pursuing a science, engineering, or math major

Minimum cumulative GPA of 3.0/4.0

Ability to work up to 25 hours per week during the academic year, and up to 40 hours per week during the summer

Ability to secure and maintain a U.S. security clearance which requires U.S. citizenship

Note:

If you have not earned a HS diploma or equivalent, please apply to a high school intern position.

Pursuing a Computer Science or Applied Computing degree

Ability to work in collaborative and interdisciplinary team-focused environments

Ability to develop technical ideas and results and present them in oral and written form to audiences with diverse technical backgrounds

Dedication to encouraging an inclusive culture

Programming experience in a language such as Python

Familiarity with Git workflows

Familiarity and experience with AI methods, such as Generative AI or machine learning

Ability to acquire and maintain a Q clearance

This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.

The Precision Discovery and Retrieval department conducts cutting-edge research and development in machine learning and artificial intelligence for national security applications.
Our mission is to research, develop, and deploy methods that augment large language models to extract and synthesize high‑fidelity information from complex data sources. We focus on high‑precision retrieval architectures, insight extraction, and analysis of scientific and engineering documents to drive design and discovery. We collaborate with Sandia staff, government customers, universities, and industry. Members of the department publish peer‑reviewed literature, participate in professional societies, and referee for conferences and journals.

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting‑edge work in a broad array of areas.

Some of the benefits: challenging work with amazing impact that contributes to security, peace, and freedom worldwide; extraordinary co‑workers; some of the best tools, equipment, and research facilities in the world; career advancement and enrichment opportunities; flexible work arrangements; generous vacation,…