2027 Summer Intern-Computer Science (Artificial Intelligence/Machine Learning)

Savannah River Mission Completion•Aiken, SC

8d•Onsite

About The Position

Provide support to Savannah River Mission Completion (SRMC) as a Computer Science (Artificial Intelligence/Machine Learning) Intern - Limited Service Employee (LSE) at the Savannah River Site (SRS), a U.S. Department of Energy facility in Aiken, South Carolina. The intern will perform meaningful work supporting SRMC’s IT/OT Technology and Innovation organization and assist with projects involving engineering and process systems, including control systems, process information systems, maintenance, artificial intelligence, and machine learning. The intern will support digital innovation initiatives, including large language model development and evaluation, data connections and integration, and predictive analytics to improve operations and decision-making. Working with engineers and data professionals, the intern will help build and refine AI/ML solutions, develop and integrate tools into .NET-based applications, and assist with data cleaning, feature engineering, and model evaluation. The internship is expected to last 10–12 weeks, from May 2027 through the end of July 2027. Assignments will be at SRMC facilities in Aiken, South Carolina. A 40-hour work week is scheduled by the individual departments; schedules may include 5/8s or 4/10s, with a 30-minute lunch each workday. Interns will not be assigned shift work, and overtime is not available. Housing and transportation are not provided. Public transportation is unavailable, and interns must arrange their own transportation. Driving on the Savannah River Site requires a valid driver’s license, vehicle registration, and proof of automobile insurance. Applicants must pass General Employee Training and Drug and Alcohol Testing before beginning work at the site. Selected candidates may be asked to provide an SRMC employment application, references, and official transcripts. Resumes will be reviewed in January 2027, with selected applicants contacted by February or March 2027.

Requirements

Be enrolled as a full-time student at an accredited four-year university and working toward a bachelor’s degree in Computer Science, Data Science, Engineering, or an equivalent field.
Have completed the sophomore year.
Pass General Employee Training (GET) before starting work at the Savannah River Site.
Pass Drug and Alcohol Testing (DAT) before starting work at the Savannah River Site.
Arrange personal transportation; public transportation is not available.
Have a valid driver’s license, vehicle registration, and proof of automobile insurance to drive on the Savannah River Site.

Nice To Haves

Cumulative GPA of 2.5.
Programming experience; C#/.NET is strongly preferred, and Python or similar is a plus.
Knowledge of general machine learning concepts, including supervised and unsupervised learning, classification, and regression.
Basic knowledge of statistical analysis and testing.
Data visualization skills, such as creating charts, graphs, and tables.
Ability to learn new technologies, including AI and ML, and solve problems.
Good communication and interpersonal skills.
Attention to detail and quality.
Creativity and innovation.

Responsibilities

Support SRMC’s IT/OT Technology and Innovation organization.
Assist with projects related to engineering and process systems, including control systems, process information systems, maintenance, AI, and ML.
Support digital innovation initiatives involving LLM development and evaluation, data connections and integration, and predictive analytics.
Collaborate with engineers and data professionals to build and refine AI/ML solutions.
Help develop and integrate tools into .NET-based applications.
Assist with data cleaning, feature engineering, and model evaluation.