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Carnegie Mellon University

Endowment management for university long-term funding

Senior Artificial Intelligence Reverse Engineering Researcher

Security Operations & Incident ResponseUpdated on Nov 14
Full-timeLinthicum Heights, MD, USA

About the Job

Requirements

  • A BS in Data Science or Computer Science or a related discipline with eight (10) years of experience, or an MS in the same fields with five (8) years of experience, or a PhD in the same fields with two (5) years of experience.
  • Strong technical writing experience.
  • Ability to recognize and appropriately handle confidential and sensitive information.
  • Willingness to travel to various locations to support the SEI’s overall mission, including sponsor sites, conferences, and offsite meetings on occasion.
  • Ability to obtain and maintain an active Department of War security clearance and pass a background check.
  • Knowledge or experience in predictive modeling, data science, artificial intelligence, and/or machine learning.
  • Deep understanding of statistical modeling techniques and advanced data analytics.
  • Experience with modern machine learning frameworks such as LightGBM, XGBoost, CatBoost, PyTorch, JAX, and TensorFlow.
  • Experience with large language models and agentic workflows, such as LangChain, LlamaIndex, and Haystack.
  • Experience deploying models using tools such as FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar.
  • Experience with disassemblers, decompilers, and debuggers, such as IDA Pro and NSA Ghidra.
  • Experience with high-level programming languages such as Java, Python, and Go.
  • Knowledge of software engineering and design concepts.
  • Familiarity with malware tradecraft and threat actor tactics, techniques, and procedures.

Responsibilities

  • Apply artificial intelligence and machine learning techniques to code analysis and reverse engineering challenges to support technical and threat-based assessment, such as malware detection and classification.
  • Design and develop new analysis methods and tools, identify and address emerging and complex threats, and participate in the broader security community.
  • Document and transition results through reports, presentations, and technical exchanges.
  • Identify, document, and analyze emerging and complex active security threats.
  • Participate in the broader security community through collaboration, papers, and presentations.
  • Mentor and train others and share knowledge.

Desired Qualifications

  • Ability to balance rapid prototyping with maintainable tool development.
  • Ability to handle continually shifting priorities.
  • Ability to communicate effectively with technical and non-technical audiences.
  • Experience or knowledge in predictive modeling, data science, and/or artificial intelligence and machine learning.
  • Innovative and inquisitive approach, with the ability to devise novel analytical solutions to code analysis challenges.
  • Ability to thrive in a multidisciplinary environment.

About the Company

Carnegie Mellon University

Endowment management for university long-term funding

CMU Investment Office manages Carnegie Mellon University's endowment to provide a permanent funding source for research, education, scholarships, and operations. It grows and protects long-term assets through a globally diversified portfolio across private equity, venture capital, hedge funds, real estate, natural resources, public equity, and fixed income, working with external managers; the endowment returned 6.6% in fiscal year 2024 and has an 8.7% 10-year average. Led by CIO Charles A. Kennedy, the office pursues a global, private-investment–centered strategy with disciplined risk management and external-manager partnerships. Its goal is to grow and preserve the endowment so CMU can sustain its research, education mission, and operations in perpetuity.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Pittsburgh, PA
Founded
2018

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