About the job
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.
Responsibilities
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. Support algorithm design, model validation, analytic experimentation, and explainability analysis to help ensure deployed AI is trustworthy, robust, and operationally effective.
Qualifications
Minimum
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, Engineering, Information Systems, or a STEM field by Spring/Summer 2027
Preferred
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
Pursuing a degree in Computer Science, Computer Engineering, Information Science, or a related STEM field