University, Applied AI Software Developer
About The Position
University, Applied AI Software Developer The Opportunity: 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 mathematical modeling, statistics, linear algebra, probability, or optimization
- Experience applying mathematical methods in academic, research, or internship environments
- Experience with languages used for mathematical or statistical computing such as Python, R, or MATLAB
- Ability to break down complex problems, analyze data, and articulate insights
- Ability to travel up to 25% of the time
- Ability to obtain a Secret clearance
- Scheduled to obtain a Bachelor’s degree in a Mathematics, Applied Mathematics, or Statistics field by Spring or Summer 2027
Nice To Haves
- Experience with ML, data mining, or algorithm development
- Experience with simulation, graph theory, or numerical methods
- Experience with AI or ML frameworks such as PyTorch, TensorFlow, or scikit‑learn
- Bachelor’s degree in Applied Mathematics, Data Science, CS, Physics, Engineering, or a related technical field
Responsibilities
- algorithm design
- model validation
- analytic experimentation
- explainability analysis
Benefits
- health
- life
- disability
- financial
- retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
