Summer 2026 Artificial Intelligence/Machine Learning Associate Internship

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Interns

Job Qualifications:

Skills:

New Software, Organizing, Planning Ability, Software Applications, Software Systems

Certifications:

None

Experience:

0 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT Summer Internship Program – Summer 2026 Artificial Intelligence/Machine Learning Associate Internship   

Sponsorship is not available for this role.  

At GDIT, our people are our business. We pride ourselves on the work our innovators do to support and secure some of the most complex government, defense, and intelligence projects across the world. We wouldn’t be successful without our ability to attract new talent to join our team.  

What sets a GDIT internship experience apart from other organizations in the industry?  

GDIT’s Summer Internship Program is designed with you in mind!  Our internship provides you the opportunity to be a part of a collaborative team that is helping to solve our clients’ most challenging matters. Throughout GDIT’s 10-week Summer Internship Program, you will have the opportunity to do the following:   

• Work side-by-side with GDIT professionals delivering work for clients. 

• Collaborate with a team of peers to research and propose solutions to a current business challenge. 

• Participate in a mentoring circle led by an early career champion.  

• Interact with GDIT leaders. 

• Participate in professional development. 

• Plan and help execute prototyping and technical implementation efforts
• Develop effective and compelling briefings, reusable artifacts, and related materials for use by our customers, both internal and external.

How You’ll Make this Internship Opportunity Your Own  

Our Artificial Intelligence/ Machine Learning summer interns will work on a range of projects that ideally align with their interests. Some interns will use statistical techniques to provide insights into internal or external customer data to guide decision-making and enhance user experience. Other interns will build machine learning algorithms or work on artificial intelligence system deployments. The ideal intern will have knowledge of computer languages and their applications to enable a system to perform specific functions.   

  

The Must-Haves  

• Currently enrolled in an associate's, bachelor's or master's degree program in computer science, IT, engineering, or other STEM field from a United States-based college or university.   

• Basic understanding of Microsoft Office products (e.g., Word, PowerPoint, SharePoint, Excel, and Teams)  

What You’ll Need to Deliver Your Best Every Day  

• Problem solving and interest in big data. 

• Interest in data transformation, model selection, cross-validation, and deployment  

• Interest or experience with big data platform tools  

• Knowledge of statistical techniques  

• Experience working with large data sets including data integration, data migration, analysis and visualization
• Exposure with cloud-native data analytic solution architectures
• Exposure to AI/ML using Deep learning Frameworks, Analysts Notebooks and Spark/Python/R Libraries.

• Experience working in a collaborative team environment.  

• Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology.   
• Ability to effectively articulate technical challenges and solutions. 

GDIT interns are paid and full-time (40 hours/week) for 10 consecutive Applicants should have a minimum of one semester remaining in their studies after their internship concludes. Take the first step and apply today!  

Note: We receive a high volume of applications and review them on a rolling basis. We encourage you to apply as soon as possible. Our goal is to follow up with you within two weeks of your application.  

 
#GDITInternship 

The likely hourly rate for this position is between $22.10 - $29.90. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.