Key Responsibilities
Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Minimum Qualifications
BS in computer science, machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience
Understanding of software engineering principles and system design
Experience with containerization and microservices architectures
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 (5%).
You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.
Preferred Qualifications
Experience applying statistical modeling and advanced data analytics techniques
Background in developing AI/ML solutions in real-world settings
Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
Experience and knowledge in cybersecurity best practices
Demonstrated ability to quickly learn and adapt to new technologies and domains
Why Join Us
Contribute to a world-class organization with significant impact on software and national security
Work with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering
8% employer retirement contribution (no employee contribution required)
Tuition benefits for employees and their dependent children
Flexible work arrangements and strong work-life balance
Paid parental and military leave
Professional development opportunities, including conference attendance and certifications
Qualify for relocation assistance and so much more.
Location
- Arlington, VA, Pittsburgh, PA
- 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
