Senior AI Malware Analysis & Reverse-Engineering Researcher

Aimlroles; Linthicum (MD); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

8% retirement contribution

Tuition benefits to CMU and affiliates

Transit benefits

Professional development opportunities

Job summary

Carnegie Mellon University’s SEI CERT Division seeks a Senior AI Reverse Engineer Researcher for the Threat Analysis directorate. This onsite role at an SEI customer location near Fort Meade focuses on applying AI/ML to reverse engineering, malware analysis, and threat assessment.

You will develop methods, document findings, and engage with the security community to address emerging threats. The role requires strong data science skills and experience with modern ML tools.

Qualifications

• Experience applying AI/ML to code analysis and reverse engineering.
• Strong analytical mindset with data-science focus.
• Ability to balance rapid prototyping with maintainable tool development.

Responsibilities

• Apply AI/ML to code analysis and reverse engineering tasks (malware detection/classification).
• Design and develop new analysis methods and tools for threat assessment.
• Document results in reports and presentations.
• Identify and analyze emerging active threats.
• Collaborate with the security community for knowledge sharing.

Skills

AI/ML & data science

Malware analysis

Threat modeling

ML frameworks (LightGBM/XGBoost, CatBo

Education

BS in Data Science/CS or related (8–10 years)

MS in Data Science/CS (5–8 years)

PhD in Data Science/CS (2–5 years)

Tools

IDA Pro

Ghidra

FastAPI

Triton

KServe

SageMaker/Vertex AI

Job description

Carnegie Mellon University’s SEI CERT Division seeks a Senior AI Reverse Engineer Researcher for the Threat Analysis directorate. This onsite role at an SEI customer location near Fort Meade focuses on applying AI/ML to reverse engineering, malware analysis, and threat assessment.

You will develop methods, document findings, and engage with the security community to address emerging threats. The role requires strong data science skills and experience with modern ML tools.