427 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at Carnegie Mellon University
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Responsibilities Design, implement, and evaluate state‑of‑the‑art ML models (computer‑vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe. Build and maintain robust data
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advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government
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of experience, an MS with 8 years of experience, or a PhD with 5 years of experience in Computer Science, Electrical Engineering, or a related field. You’ve worked in a collaborative team environment as a
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What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia
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Financial Operations (35%) Apply accounting practices to support accurate tracking of Executive Education revenue and expenses. Coordinate program schedules to align revenue recognition with CMU policies and
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machine learning methods. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision
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The Computing Services central IT department provides services that have a strategic impact on university goals. We make service decisions based on interaction and valuable input from colleagues
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The Office of Enrollment Management at Carnegie Mellon University is seeking a dynamic, student-centered professional to lead the Tartan Ambassador program—an integral part of the university’s
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: 2024202 Carnegie Mellon University's department of Athletics is searching for an (Senior) Associate Head Coach in its NCAA Division III program. The direct position group in which this position will be
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generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research