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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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/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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. 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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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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Pytorch Familiarity with Large Language Models (LLMs) Requirements: Successful background check Joining the CMU team opens the door to an array of exceptional benefits, available to all full-time Carnegie
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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
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is required Coding, deep learning libraries such as Pytorch Familiarity with Large Language Models (LLMs) Requirements: Successful background check Joining the CMU team opens the door to an array
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, deep learning libraries such as Pytorch Familiarity with Large Language Models (LLMs) Requirements: Successful background check Joining the CMU team opens the door to an array of exceptional benefits
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neuroscience data collected from the study of individuals with brain injury Some experience working an environment that involves cognitive and/or linguistic assessments in human subjects is preferred. Basic
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. Current students and alumni are encouraged to apply. Anyone who is a non-U.S. citizen will also need to complete the ITA Language Certification before they can begin working as a TA. TA responsibilities