Carnegie Mellon University - Software Engineering Institute
February 9, 2018
Full Time - Experienced
4 Year Degree
What We Do:
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.
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 tackle 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!
Knowledge, Skills and Abilities:
Deep understanding of statistical modeling techniques
Familiar with at least one mathematical/statistical programming package (e.g., python numpy/scipy/pandas, R, MATLAB, etc.)
Strong software engineering skills
You should have Cybersecurity or privacy experience
Experience supporting test and evaluation for large-scale government research programs is a plus
MS or PhD in machine learning, computer science, statistics, or other related quantitative field
Two (2) to five (5) years of experience
Experience with specific methods and/or evidence that you can learn.
Job Function Breakdown:
60% - Collaboration - Works with CMU, SEI, other researchers, and the intelligence community to enhance the state of the art in technologies to assist in the analysis of large volume and streaming data. Works with CMU and SEI engineers to apply state of the art technologies to prototype systems that assist in the analysis of large volume and streaming data.
20% - Communication – Attends meetings, submits work progress reports, and performs related duties as required
20% - Project Work - Represents work plans and prototypes via publications, conferences, and meetings to the academic research, engineering, DoD, and first responder communities
100% Total Effort
Our benefits philosophy encompasses three driving priorities: Choice, Control, and Well-being. Learn more at https://www.cmu.edu/jobs/benefits-at-a-glance/ . You can join an institution and inspire innovations that change the world.
Carnegie Mellon University is a welcoming workplace that 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.
BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience or equivalent combination of training or experience.
Willingness to travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion.
You will be subject to a background check and will need to obtain and maintain a Department of Defense security clearance.
2 openings. Employer will assist with relocation costs.
Additional Salary Information: Compensation includes excellent Carnegie Mellon University staff benefits package.
Internal Number: 2007235
About Carnegie Mellon University - Software Engineering Institute
Pursue your passion and work alongside world-recognized leaders in the field of software engineering. Our staff works with the highest levels of U.S. government and industry to secure the nation's critical infrastructure, improve mission-critical systems, and advance the state of the art.
Interested in working with us? To browse employment opportunities and apply for a position at the SEI, see our list of open positions at http://www.sei.cmu.edu/careers/. You can also visit the Carnegie Mellon site to learn about benefits for eligible employees, search for open positions that match your interests, and create a Job Agent that will notify you by e-mail when jobs that meet your criteria become available.
Resumes from recruiting firms will not be accepted.
Carnegie Mellon University is an EEO/Affirmative Action Employer – M/F/Disability/Veteran