472 computer-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Carnegie Mellon University
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retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and
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to perform clearly defined tasks with minimal direction Strong reasoning and problem-solving skills to build positive relationships Proficient computer and analytical skills. Qualifications: High School
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challenges. Requirements: Enrolled in a degree granting program. Willingness to travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community. You will be
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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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comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved
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of International Education, EM Marketing & Communications and Enrollment Systems. Collaborate with strategic campus partners such as Institutional Effectiveness & Planning, Computing Services
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eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions
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comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved
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resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive
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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