University, Applied AI Software Development Intern
About The Position
In the defense mission space, artificial intelligence (AI) is only as strong as the mathematical foundations that enable it. As an Applied AI Mathematics Intern, you’ll help our team explore emerging approaches in optimization, modeling, probability, and algorithmic development to advance the next generation of mission solutions. Massive real world data sets paired with operationally relevant problems give you the chance to apply academic theory to meaningful national security outcomes. On our team, you’ll work closely with data scientists, AI engineers, and mission experts to understand client questions, apply mathematical methods to data driven challenges, and evaluate the performance of advanced AI and machine learning (ML) techniques. You’ll support algorithm design, model validation, analytic experimentation, and explainability analysis to help ensure deployed AI is trustworthy, robust, and operationally effective. Join us as we use applied mathematics to enhance the future of defense missions. Join us. The world can’t wait.
Requirements
- Experience with programming languages or frameworks, including Python, Java, C++, Go, or JavaScript
- Experience using Microsoft Office programs, including Outlook, Word, Excel, and PowerPoint
- Knowledge of software development methodologies, version control, and collaborative development workflows
- Ability to travel up to 25% of the time
- Ability to obtain a Secret clearance
- Scheduled to obtain a Bachelor’s degree in CS, Engineering, Information Systems, or a STEM field by Spring or Summer 2028
Nice To Haves
- Experience with AI or 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
- Bachelor’s degree in CS, Computer Engineering, Information Science, or a STEM-related field
Responsibilities
- Support algorithm design, model validation, analytic experimentation, and explainability analysis to help ensure deployed AI is trustworthy, robust, and operationally effective.
- Understand client questions, apply mathematical methods to data driven challenges, and evaluate the performance of advanced AI and machine learning (ML) techniques.
- Explore emerging approaches in optimization, modeling, probability, and algorithmic development to advance the next generation of mission solutions.
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
