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Internships in Generative and Agentic AI

MITRE

McLean, VAOnsitePosted 4 days ago$46,500 - $69,500/year
InternshipInternResearch & ScientistResearch Institute
Original posting ↗

Summary

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.

Job description

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

Requirements

  • 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
  • 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

Company overview

MITRE is a not-for-profit corporation that operates federally funded research and development centers (FFRDCs) for various U.S. government agencies. Founded in 1958, MITRE serves as a critical bridge between government requirements and technological innovation, providing objective analysis and solutions to complex national security and public interest challenges. The organization's work spans multiple domains including cybersecurity, aviation, healthcare, defense systems, and critical infrastructure protection. MITRE operates two primary FFRDCs: one for the Department of Defense and another for the Federal Aviation Administration and Department of Homeland Security. The corporation is renowned for developing technical standards and frameworks, most notably the MITRE ATT&CK framework for cybersecurity threat modeling. With a workforce of engineers, scientists, and technical specialists, MITRE focuses on solving problems of national importance through applied research, systems engineering, and advanced technology development, maintaining strict objectivity by not manufacturing products or competing with private industry.

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