RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE TYPE: None

TRAVEL: No

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman is seeking a motivated intern to join our team focused on the design, development, and/or deployment of AI/ML systems. This internship offers hands-on experience in AI/ML system architecture and the opportunity to contribute to innovative solutions supporting our missions. The ideal candidate is a student with a strong interest in AI/ML, eager to learn, and ready to collaborate with engineering and IT teams.

Roles and Responsibilities could include:

Support the architecture, design, and deployment of scalable AI/ML systems under the guidance of senior engineers.Designing, testing and optimizing prompts for LLMs to improve output quality and task accuracyCollaborate with cross-functional teams, including software engineers and data scientists, to integrate AI/ML technologies into existing frameworks.Assist in developing end-to-end AI/ML solutions, including data processing and deployment. Agentic and non-agentic could be included.Apply AI to real world problems – data preprocessing, analytics, and insights generationParticipate in requirements gathering, system design reviews, and technical documentation.Help develop communications and training packages about AI/ML.Stay current with industry trends and emerging technologies in AI/ML.

Basic Qualifications:

Be a student who is enrolled full time and pursuing an undergraduate or graduate degree from an accredited college/university and will be enrolled full time in Fall 2027.Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.Coursework or project experience in AI/ML, algorithms, or data science.Familiarity with programming languages such as Python, Java, or C++.Interest in data engineering and analyticsInterest in cloud computing platforms (e.g., AWS, Azure, GCP) and container technologies (e.g., Docker, Kubernetes) is a plus.Knowledge of LLMs, agent systems, and prompt engineering. Strong analytical and problem-solving skills.Ability to work collaboratively in a team environment.Be available to work full-time (40 hours per week) for at least 10 weeks during the summer of 2026.

Preferred Qualifications:

Experience with AI/ML frameworks through coursework or projects.Exposure to Ai applications that are responsible and generate creative business efficiencies.Exposure to big data technologies or DevOps practices is a plus.Excellent communication skills and willingness to learn.

Intern Pay Range:

Bachelor’s: $17.00 - $38.00

Master’s: $24.50 - $46.75

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.