University, Applied AI Software Developer

Your growth matters to us - explore our career development opportunities. BE EMPOWERED TO SUCCEED Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we’ll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. 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. You Have: 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 If You Have: 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 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55,200.00 to $126,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr