Internships in Generative and Agentic AI

The Mitre Corporation•New Bedford, MA
•$46,500 - $69,500•Onsite

About The Position

The Generative and Agentic AI Engineering Department works across U.S. government agencies to develop, engineer, and deploy advanced AI capabilities addressing complex mission needs. The department applies generative AI, agentic AI, and AI/ML research and engineering to operational challenges, while researching, prototyping, and transitioning technologies for critical mission objectives. Areas of work include 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. Expertise includes large language models, autonomous AI workflows and data processing pipelines, computational linguistics, knowledge graph construction, identity resolution, and AI/GenAI evaluation. Interns will conduct research, development, engineering, evaluation, and integration in natural language processing and related areas. Applications include computational linguistics, AI/ML, large language models, machine and computer-assisted translation, speech processing, information extraction and retrieval, identity matching, and other human language technologies.

Requirements

  • Sustained excellence in academic performance.
  • Be 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, such as C/C++, Java, MATLAB, Go, Python, or similar.
  • Experience or coursework in natural language processing and its applications.

Nice To Haves

  • 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 an active U.S. government security clearance.

Responsibilities

  • Perform research, development, engineering, evaluation, and integration in natural language processing.
  • Work on computational linguistics, artificial intelligence and machine learning, and large language models as applied to machine and computer-assisted translation, speech processing, information extraction, information retrieval, identity matching, and related human language technology areas.
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