Senior AI Reverse Engineering Researcher

Carnegie Mellon University

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Work type
On-site
Location
Linthicum, MD
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

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Similar $190k
$132k $243k
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About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

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At a glance

TL;DR · Senior AI Reverse Engineering Researcher

The Senior AI Reverse Engineering Researcher joins the CERT Division of the Software Engineering Institute within the Threat Analysis directorate. This role involves applying artificial intelligence and machine learning techniques to code analysis and reverse engineering challenges to support technical and threat-based assessments, specifically for malware detection and classification. The researcher will design and develop new analysis methods and tools, identify emerging security threats, and document results through reports and technical exchanges. Key technical requirements include proficiency in modern ML frameworks like PyTorch, JAX, and TensorFlow, as well as LLMs and agentic workflows using LangChain or LlamaIndex. Candidates must also possess experience with disassemblers like IDA Pro or Ghidra, high-level languages such as Python and GoLang, and knowledge of malware tradecraft and threat actor tactics.

What you'll do

  • Apply AI and machine learning techniques to code analysis and reverse engineering for malware detection and classification.
  • Design and develop new analysis methods and tools to identify and address emerging security threats.
  • Identify, document, and analyze complex active security threats.
  • Document and transition research results through reports, presentations, and technical exchanges.
  • Participate in the broader security community through the publication of papers and presentations.
  • Balance rapid prototyping with the development of maintainable software tools.

What we're looking for

  • You must have a BS in Data Science/Computer Science with experience, an MS with , or a PhD with .
  • You must be able to obtain and maintain an active Department of Defense security clearance.
  • You must have experience with high-level programming languages such as Java, Python, or GoLang.
  • You must have experience with disassemblers, decompilers, and debuggers like IDA Pro or NSA Ghidra.
  • You must have experience with modern ML frameworks including LightGBM, XGBoost, CatBoost, PyTorch, JAX, or TensorFlow.
  • You must have experience with LLMs and agentic workflows such as LangChain, LlamaIndex, or Haystack.
  • You must have experience deploying models using FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar.
  • You must have experience with predictive modeling, data science, and advanced statistical modeling techniques.

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