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Machine Learning Research Scientist - 2004458 

EOE StatementCarnegie Mellon University - Software Engineering Institute considers applicants for employment without regard to, and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status.

Machine Learning researchers at the SEI help our government and industry clients solve their problems using ML technology. In this role, you will work with our customers to identify areas where advanced statistical techniques can help solve problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoD sponsors and at academic conferences.

Our team works on a wide range of projects. Some of our current work includes developing metrics and experimental designs for large-scale cybersecurity research programs, researching human-in-the-loop machine learning, and building classifiers to identify security vulnerabilities in code. We have access to a wide variety of cyber-related data, including malware samples, netflow data, cybersecurity training runs and tests, incident tickets, and more. If you are a computer science or statistics expert with an interest in cybersecurity, we want to hear from you!

Minimum Qualifications:

Bachelor’s degree in machine learning, cybersecurity, statistics, or related quantitative field with four years of experience.


  • Solid grasp of statistical modeling techniques
  • Comfortable working in the Unix command line
  • Demonstrated ability to work in a multi-disciplinary environment
  • Superb communication skills

Experience with specific methods is less important than evidence that you can learn.

Preferred Qualifications and Requirements:

MS/PhD in machine learning, computer science, statistics, or other related quantitative field, plus two years of experience.


  • Expertise implementing machine learning techniques (e.g., K-means, SVM, neural networks)
  • Familiar with at least one mathematical/statistical programming package (e.g., python numpy/scipy/pandas, R, MATLAB, etc.)
  • Strong software engineering skills
  • Cybersecurity or privacy experience
  • Experience supporting test and evaluation for large-scale government research programs is a plus

Note that you will undergo a background check and must be eligible to obtain and maintain a Department of Defense security clearance. Additionally, Carnegie Mellon University is an EEO/Affirmative Action Employer – M/F/Disability/Veteran.


Job Categories Cyber Security 

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