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Dates: Summer 2025 (May – August)

Full Time: 40 hrs/wk

Location: Bedford, MA or McLean, VA

In Office Requirement: Hybrid: 2-3 days a week onsite

MITRE’s Human-Centered Artificial Intelligence (HCAI) Solutions department in the AI and Autonomy Innovation Center is seeking qualified HCAI Engineers to drive research in AI and Machine Learning (ML) technologies for solving problems for a safer world. The department applies human-centered engineering to AI and software development practices, empowering diverse human teams and AI-enabled systems to produce greater outcomes together than either could alone. The department supports a wide range of sponsors and internal customers and is active in MITRE’s internal research program. The successful candidate will design, execute, and apply research that explores human interactions with emerging AI technologies such as Large Language Models (LLM) in the context of our sponsors’ priorities and use cases.

Job Responsibilities may include:

• Assist MITRE and government sponsors in executing and applying research to solve problems related to human-AI interaction and societal impacts of AI in domains such as healthcare, intelligence, and defense

• Contribute to human-centered research on AI, including formal experimental research and observational/naturalistic research

• Demonstrate academic and industry best practices for human-centered AI research

Basic Qualifications:

• Must be a student enrolled full-time in an accredited degree-seeking program in Human Factors, Computer Science, Social Sciences or a related degree and continue to be enrolled full-time the semester following the internship.

• Familiarity with and interest to learn and grow in one or more of the following human-AI interaction topics: Usability of AI systems, augmenting human work and decision making with AI, Explainable AI, Trust in AI, Societal and sociotechnical impacts of AI, AI risks and governance.

• Sustained excellence in academic performance.

Preferred Qualifications:

• Experience working with LLMs and basic understanding of their capabilities and limitations.

• Demonstrated interest in serving the public.

  This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

None

Work Location Type:

Hybrid

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