Senior AI Reverse Engineering Researcher

Posted Yesterday
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Linthicum, MD, USA
In-Office
Senior level
Edtech
The Role
Conduct AI and machine learning research for code analysis, reverse engineering, malware detection, and threat assessment. Develop analytical methods and tools, investigate emerging security threats, and use modern ML frameworks, LLM workflows, model deployment platforms, and reverse-engineering tools. Document and present findings, collaborate with the security community, mentor others, and support government sponsors. The role is onsite near Fort Meade, requires occasional travel, and requires obtaining and maintaining an active Department of War security clearance.
Summary Generated by Built In

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  

  

  

 

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. 

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

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

Skills Required

  • Bachelor's degree in Data Science, Computer Science, or a related discipline with 10 years of experience
  • Master's degree in Data Science, Computer Science, or a related discipline with 8 years of experience
  • PhD in Data Science, Computer Science, or a related discipline with 5 years of experience
  • Experience or knowledge of predictive modeling, data science, and/or artificial intelligence and machine learning
  • Deep understanding of statistical modeling techniques and advanced data analytics
  • Experience with modern machine learning frameworks, including LightGBM, XGBoost, CatBoost, PyTorch, JAX, or TensorFlow
  • Experience with LLMs or agentic workflows, such as LangChain, LlamaIndex, or Haystack
  • Experience deploying models using FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar platforms
  • Experience with disassemblers, decompilers, and debuggers, such as IDA Pro or NSA Ghidra
  • Experience with high-level programming languages such as Java, Python, or Go
  • Knowledge of software engineering and design concepts
  • Familiarity with malware tradecraft and threat actor tactics, techniques, and procedures
  • Strong technical writing and communication skills
  • Willingness to travel occasionally to sponsor sites, conferences, and offsite meetings
  • Ability to obtain and maintain an active Department of War security clearance

Carnegie Mellon University Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Carnegie Mellon University and has not been reviewed or approved by Carnegie Mellon University.

  • Retirement Support — Retirement support is positioned as a standout, with automatic employer contributions to a TIAA-administered plan at 8% of base salary (and 9.78% for 9‑month academic appointments), plus optional employee deferrals. Vesting after three years is clearly specified, which helps set expectations for long-term value.
  • Parental & Family Support — Parental and family support is strengthened by 100% paid parental leave for six weeks and 100% paid maternity leave for 6–8 weeks (delivery-type dependent), effective July 1, 2024. Childcare support is also referenced through a Cyert Center subsidy up to $5,000 per family, alongside no-cost EAP access.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits include free Pittsburgh Regional Transit access and access to fitness classes and facilities, adding recurring non-cash value to the overall package. Pittsburgh’s relatively affordable cost of living can further increase the perceived adequacy of a given salary compared with higher-cost coastal hubs.

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The Company
HQ: Pittsburgh, PA
9,172 Employees
Year Founded: 1990

What We Do

Carnegie Mellon University founder Andrew Carnegie said: "My heart is in the work."​ No statement better captures the passion and drive of our people to make a real difference. At Carnegie Mellon, we're not afraid of the work. Our educational environment creates problem solvers, drivers of innovation and pioneers in technology and the arts. Employers in every field say our graduates are ready to hit the ground running the day they graduate. So, join us. Whether you're looking for a career or an education. Or both.

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