AI/ML Intern

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world.

Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership.

The Indo-Pacific Regional Operations Department (N554) works with the U.S. Pacific Command (US PACOM) and the Military Service Components to inform warfighter requirements and Concepts of Operation (CONOPS), and provides Command, Control, Communications, Computers, and Intelligence (C4I) systems acquisition, engineering, and integration support to the Department of War (DOW) and U.S. Allies in the Pacific Theater. N554 operational depth and warfighter access has generated considerable expertise in the development and analysis of CONOPS, mission threads, use cases, and operational requirements. The Department establishes links between DoW sponsors and Coalition Partner development activities.

About the role

Start Dates: August 24th; September 7th or September 24th. This will be a full-time (40 hours per week) internship working 50% onsite. The length of the internship will be 8-12 weeks and will conclude on November 20th. Preference given to candidates who hold an active Secret Clearance.

Responsibilities

• Collaborate in an agile team—participating in stand-ups, sprint planning, and demos—to translate mission requirements into functional, production-ready features.
• Build end-to-end data pipelines (Python + SQL) that ingest, clean, and transform raw datasets for analysis and AI/ML model feeding.
• Design and develop full-stack web applications (Django/Flask back-end; React/Next.js/React-Native front-end) that expose RESTful APIs and interactive visualizations of digital-twin states.
• Create and maintain interactive dashboards and visualizations (Plotly, D3, or similar) to surface analytical insights and model predictions for stakeholders.

Qualifications

• Sustained excellence in academic performance.
• Must be a student enrolled full-time in an accredited degree-seeking program in software engineering, computer science, information science, or a related degree and continue to be enrolled full-time the semester following the internship.
• Proficient in Python and SQL; able to write scripts for data cleaning/analysis.
• Experience with Git (branching, pull-requests, and basic code-review workflow).
• Fundamental knowledge of web development concepts: HTTP/REST, HTML-CSS, and JavaScript (or TypeScript).
• Strong analytical mindset and clear written/oral communication skill.
• Demonstrated interest in serving the public.
• Hands-on experience building web services with Django or Flask, including design of RESTful APIs.
• Front-end development using React.js, Next.js, or React Native; comfortable writing code in TypeScript (or JavaScript).
• Exposure to Java (object-oriented programming) and the ability to read/modify Java codebases.
• Data-visualization experience with libraries or tools such as Plotly, D3, or Tableau-style dashboards, and/or prior work on digital-twin prototypes.
• Applied AI/ML exposure – experience training or running models (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with Agile software-development practices (Scrum/Kanban, sprint cycles, code reviews).

Pay

Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual

Schedule

Work Location Type: Hybrid