81 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" uni jobs at Carnegie Mellon University
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systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors, oversight
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). Experience with Large Language Models (LLMs) and Reinforcement Learning frameworks such as Areal or SkyRL. Familiarity with coding agentic frameworks (e.g., OpenHands, SWE-Agent) and software engineering
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requirements. Supply & Safety Management: Requisition necessary parts and materials while ensuring all work complies with safety regulations, building codes, and university policies. Other duties as assigned
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; comfortable developing production‑grade code and APIs. Solid understanding of ML theory, statistical learning, and common algorithms. Hands‑on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep
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tasks (working with tokenizers, JSONL formats or Hugging Face datasets). Demonstrated ability to read technical research papers and implement algorithms or baselines from code repositories. A combination
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AI systems and how attackers adapt their tradecraft to exploit those vulnerabilities. Reverse engineer malicious code in support of high-impact customers, design and develop new analysis methods and
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with building codes Other duties as assigned Flexibility, excellence, and passion are vital qualities within the department of Facilities Management. Inclusion, collaboration and cultural sensitivity
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software-intensive systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors
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systems sufficient to maintain credibility with engineering teams (deep coding expertise not required). Experience navigating complex stakeholder ecosystems involving multiple contractors, oversight
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Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University. What you'll do Reverse engineer malicious code