This position is based onsite at an SEI customer location in the Fort Meade area. About the role The SEI helps advance software engineering principles and practices and serves as a national 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 systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.    The CERT Division of the Software Engineering Institute (SEI) is seeking an applicant for the role of a Senior AI 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  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/classification Design and develop new analysis methods and tools, work to identify and address emerging and complex threats, and effectively participate in the broader security community Document and transition results in 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  Who you are   You enjoy working on emerging and complex data science problems, especially those that relate to reverse engineering and malware analysis You have an analytical mindset and deep curiosity about data science and how software works You have the ability to balance rapid prototyping with maintainable tool development You have strong technical writing experience  You recognize and deal appropriately with confidential and sensitive information  You are able to handle continual shifting priorities You enjoy mentoring and training others as well as sharing knowledge  You communicate effectively with technical and non-technical audiences  You have BS in Data Science, Computer Science or related discipline with eight (10) years of experience; OR MS in the same fields with five (8) years of experience; OR PhD in the same fields with two (5) years of experience  You have a willingness to travel to various locations to support the SEI’s overall mission This includes sponsor sites, conferences, and offsite meetings on occasion. You will be subject to a background check and obtain and maintain an active Department of War security clearance  You have experience with or knowledge of  Predictive modeling, data science, and/or AI & machine learning Deep understanding of statistical modeling techniques and advanced data analytics Innovative and inquisitive with ability to imagine novel analytical solutions to code analysis challenges Thrives in a multi-disciplinary environment Experience with Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow) LLMs / agentic workflows (i.e. LangChain/LlamaIndex/Haystack) Experience deploying models (i.e. FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar) Experience with disassemblers, decompilers, and debuggers (e.g. IDA Pro, NSA Ghidra) Experience with high-level programming languages (e.g. Java, Python, GoLang, etc.) Software engineering and design concepts  Familiarity with malware tradecraft and threat actor tactics, techniques, and procedures (TTPs) Why work here?  Join a world-class organization that has significant impact on software  Work with cutting edge technologies and experts to solve tough problems for the government and the nation  Get 8% monthly contribution for your retirement, without having to contribute yourself  Get tuition benefits to CMU and other institutions for you and your dependent children  Get access to university resources including mindfulness programs, childcare and back-up care benefits, a monthly transit benefit on WMATA, free transportation on the Pittsburgh Regional Transit System  Enjoy annual professional development opportunities; attend conferences and training or obtain a certification and get reimbursed for membership in professional societies  Qualify for relocation assistance and so much more      Location Linthicum Job Function Software/Applications Development/Engineering Position Type Staff – Regular Full time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance Always focused on the future, the Software Engineering Institute (SEI) advances software as a strategic advantage for national security. We lead research and direct transition of software engineering, cybersecurity, and artificial intelligence technologies at the intersection of academia, industry, and government. We serve the nation as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense (DoD) and are based at Carnegie Mellon University, a global research university annually rated among the best for its programs in computer science and engineering. Our people apply special knowledge and skills and are part of an elite research university. We perform research and apply our expertise every day to foresee problems and exploit opportunities in software engineering, AI engineering, and cybersecurity. Quality software that is secure will control the future. At CMU SEI, we are engineering that ever-greater software-fueled future. Need Help? For technical assistance, email [email protected] or call 412-268-5072. We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at [email protected] or by phone at 412-268-3930.

Senior AI Reverse Engineering Researcher.

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