Northrop Grumman
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. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Northrop Grumman Space Sector
AI Engineer Intern
Location
California
Posted
23 days ago
Salary
$17 - $38 / hour
Bachelor DegreeEnglishAWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPython
Job Description
• 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 accuracy.
• Collaborate 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.
• Apply AI to real world problems – data preprocessing, analytics, and insights generation.
• Participate 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.
Job Requirements
- 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 analytics.
- Interest 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.
