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 Generative and Agentic AI Engineering Department works across the full range of US Government agencies to develop, engineer, and deploy advanced AI capabilities that address complex mission needs for our sponsors. Our department applies generative AI, agentic AI, and AI/ML research and engineering to operational challenges while researching, prototyping, and transitioning innovative technologies to support critical mission objectives for our sponsors. Our work spans generative AI applications, agentic AI system design, AI model fine-tuning and adaptation, knowledge representation and extraction, AI architectures, MLOps/LLMOps, and human language technology (HLT). The department maintains deep expertise in large language models, agentic AI, autonomous AI workflows and data processing pipelines, computational linguistics, knowledge graph construction, identity resolution and AI/GenAI evaluation.

Job Responsibilities

We are looking for highly-motivated, adaptive, and self-directed candidates to perform research, development, engineering, evaluation and integration in the field of natural language processing, to include computational linguistics, artificial intelligence/machine learning and large language models (LLMs) as applied to machine and computer-assisted translation, speech processing, information extraction, information retrieval, identity matching and associated areas of human language technology.

Basic Qualifications

Sustained excellence in academic performance
Must be a student enrolled full-time in an accredited degree-seeking program in Computer Science, Linguistics, Data Science, or a related degree and continue to be enrolled full-time the semester following the internship.
Experience with one or more general purpose programming languages including: C/C++, Java, MATLAB, Go, Python or similar.
Experience or coursework in Natural Language Processing and its applications

Preferred Qualifications

Demonstrated interest in serving the public
Completion of a significant project leveraging Natural Language Processing
Experience with one or more machine learning or NLP libraries such as Keras, TensorFlow, Pandas, Scikit-learn, Stanford CoreNLP, spaCy, NLTK, or similar.
Preference may be given to qualified candidates with active US government security clearance

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

Salary compensation range and midpoint:

$46,500 - $58,000 - $69,500 Annual

Work Location Type:

Onsite

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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.

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Benefits information may be found here.

Internships in Generative and Agentic AI

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