AI Engineering Intern

The MITRE Corporation•New Bedford, MA

4d•$46,500 - $69,500•Hybrid

About The Position

The AI Enhanced Discovery department deliver mission-focused decision support in dynamic, high-stakes environments using state-of-the-art AI to provide timely, accurate, and actionable insights. They apply multi-disciplinary expertise to solve mission-critical decision problems, including machine learning, symbolic reasoning/knowledge representation, cognitive science, human-AI teaming, and systems engineering. They advance the field through research that develops next-generation AI algorithms and tools for consequential decision making.

Requirements

Must be a full-time student pursuing an accredited degree program in Computer Science, Software Engineering or related disciplines.
Must continue to be enrolled the semester following the internship.
Must have sustained excellence in academic performance.
Proficiency in a modern programming language (e.g., Python) and common data/ML libraries; ability to write well-documented, reproducible code and use Git.

Nice To Haves

Strong analytical and communication skills; able to design experiments, analyze results, and present findings to technical and non-technical audiences.
Experience applying AI or data-driven methods to real-world problems (course projects, research, internships, or competitions).
Familiarity with multiple AI approaches (e.g., machine learning, language technologies, symbolic reasoning) and integrating them in practical systems.
Exposure to human-centered design, evaluation, or cognitive science concepts relevant to human-AI teaming.
Experience with software engineering best practices, data engineering, or MLOps; comfortable with collaborative workflows and cloud environments.
Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements.

Responsibilities

Contribute to research, prototyping, and evaluation of AI-enabled decision support capabilities by reviewing literature, preparing data, implementing methods, analyzing results, and documenting findings.
Develop and test models and software components for data pipelines, analysis, and visualization; write clean, reproducible code and use version control.
Participate in human-AI teaming and user-centered evaluation activities; gather stakeholder feedback and translate it into improvements while following responsible AI practices.
Collaborate with mentors and cross-functional teams; present progress and produce clear briefings and technical reports.