467 engineering-computation-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Carnegie Mellon University
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models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer
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curious to deliver work that matters, your journey starts here! The College of Engineering at Carnegie Mellon is a world-class engineering college recognized for excellence, innovation, and the societal
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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curious to deliver work that matters, your journey starts here! Carnegie Mellon’s School of Computer Science (SCS) is widely recognized as one of the first and the best computer science programs in
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, sensors and sensor fusion, planning, computer vision, or related areas. In addition, you have demonstrated applying systems engineering principles and collaborated across multi-disciplinary project teams
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, knowledge‑sharing, and supportive collaboration Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field At least 3 years of experience developing
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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What We Do At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence
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, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers, software engineers, and government sponsors to define problem statements
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models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer