Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. MITRE’s Human Language Technology (HLT) Department works across the full range of US Government agencies to provide language processing solutions to address complex mission needs for our sponsors. Our department’s work provides opportunities to apply natural language processing solutions to real-world challenges and to research and prototype new methods to address critical sponsor mission needs. Our department has deep expertise in a wide range of technology areas, including large language models, computational linguistics, artificial intelligence, machine learning, speech processing, information extraction, automatic knowledge base population, cross-language information retrieval, identity matching/resolution. 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.
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Career Level
Intern
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