University - Applied AI Intern
About The Position
Artificial Intelligence is only as strong as the mathematical foundations behind it. As an Applied AI Intern, you’ll help our defense mission space team explore new approaches in optimization, modeling, probability, and algorithmic development to advance next‑generation mission solutions. You’ll work with massive real‑world data sets and operationally relevant challenges, giving you the opportunity to translate academic theory into meaningful national security impact. As part of our team, you’ll collaborate closely with data scientists, AI engineers, and mission experts to understand client needs, apply mathematical methods to data‑driven problems, and evaluate the performance of advanced AI and machine learning techniques. You’ll contribute to algorithm design, model validation, analytic experimentation, and explainability analysis to help ensure deployed AI is trustworthy, robust, and mission‑ready. AI-enabled defense capabilities require software developers who can design, test, and refine intelligent systems from prototype through mission deployment. In this role, you’ll help build tools, applications, and pipelines that integrate machine learning into real world operational workflows and advanced analytical systems. This role is more than just coding—you’ll collaborate with multidisciplinary teams to explore emerging AI technologies, evaluate integration approaches, and develop software components that enhance mission-relevant decision making. You’ll work in Agile environments where you can rapidly iterate, test new features, incorporate user feedback, and gain exposure to cloud environments, DevSecOps toolchains, and secure development best practices. Join us as we develop AI-enhanced systems that support national defense and use applied mathematics to shape the future of defense missions.
Requirements
- Experience with programming languages or frameworks, including Python, Java, C++, Go, or JavaScript
- Experience with Microsoft Office, including Outlook, Word, Excel, and PowerPoint
- Knowledge of software development methodologies, version control, and collaborative development workflows
- Ability to obtain a Secret clearance
- Scheduled to obtain a Bachelor’s degree in Computer Science, Information Systems, or a STEM field by Spring or Summer 2027
Nice To Haves
- Experience with AI and ML model development or integration
- Experience with cloud platforms, containerization, or DevSecOps tooling
- Experience with databases such as SQL or NoSQL or data engineering pipelines
- Knowledge of Agile development
Responsibilities
- Explore new approaches in optimization, modeling, probability, and algorithmic development to advance next‑generation mission solutions.
- Work with massive real‑world data sets and operationally relevant challenges.
- Collaborate closely with data scientists, AI engineers, and mission experts to understand client needs.
- Apply mathematical methods to data‑driven problems.
- Evaluate the performance of advanced AI and machine learning techniques.
- Contribute to algorithm design, model validation, analytic experimentation, and explainability analysis.
- Build tools, applications, and pipelines that integrate machine learning into real world operational workflows and advanced analytical systems.
- Explore emerging AI technologies.
- Evaluate integration approaches.
- Develop software components that enhance mission-relevant decision making.
- Rapidly iterate, test new features, incorporate user feedback in Agile environments.
- Gain exposure to cloud environments, DevSecOps toolchains, and secure development best practices.
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
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What This Job Offers
Job Type
Full-time
Career Level
Intern
