63 Linguistics positions at Carnegie Mellon University in United-states in United States
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here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial
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/marginalized communities is a plus. Experience developing DEIB frameworks to meet global campus/community needs is a plus. Experiences in the Middle East region and/or Arabic language are a plus. Ability to
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront
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. Additionally, we work in generative AI and large language models, deep fake video creation and detection, data visualization, and natural language processing. We have access to a wide variety of cyber-related
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. The Research Engineer will build upon a taxonomy on privacy in AI that the research team has previously established, and use a large language model (LLM) to create tools that help practitioners contextualize
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. Additionally, we work in generative AI and large language models, deep fake video creation and detection, data visualization, and natural language processing. We have access to a wide variety of cyber-related
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The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront
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Carnegie Mellon University seeks a Data Science Course Developer within our Language Technologies Institute in Pittsburgh, PA, responsible for designing, developing, testing, and maintaining
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seamlessly interact with the real world. It will require a thorough understanding of machine learning, robotics, and multi-modal learning and large language models. Leading the CMU Safe AI Laboratory, Ding