AI/ML Intern

AI/ML Intern

At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We're a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation's health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose — and help shape the future.

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.

Job Title: AI/ML Intern

Start Dates: This will be a full-time (40 hours per week) internship working at least 3 days a week onsite. The internship will begin on September 21st, 2026, and conclude on December 4th, 2026. Preference given to candidates who hold an active Secret Clearance.

Job 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.

Basic 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: HTML‑CSS, and JavaScript (or TypeScript).
• Strong analytical mindset and clear written/oral communication skill.
• This position requires a minimum of 3 days per week onsite.

Preferred Qualifications:

• 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).

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

Work Location Type: Hybrid

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.