Software Engineering Institute | Carnegie Mellon University · 1 week ago
Senior Machine Learning Research Scientist - Secure AI Lab
Arlington, VA
Full-time
Onsite
Senior Level
5+ years expThe Software Engineering Institute at Carnegie Mellon University conducts research in applied artificial intelligence and engineering questions related to AI technologies. As a Senior Machine Learning Research Scientist, you will focus on researching vulnerabilities of AI and ML algorithms and developing solutions to secure these systems for government clients.
ComputerCyber SecurityEducationSoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Conduct and lead novel research in applied machine learning and artificial intelligence
Work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders
Work with the leadership team and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology
Actively participate on teams of software developers, researchers, designers, and technical leads
Build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions
Contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division
Qualification
Required
Comprehensive knowledge of machine learning
A track record of conducting research and applying scientific methods to solve difficult problems
Experience leading research projects in novel areas with limited previous work to build upon
Ability to work with leadership to plan, develop, and deliver an overall research strategy
Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson's terms
Proficiency in writing funding proposals or pitching ideas for new research projects
Ample experience with publishing written or technical artifacts showcasing your work
Strong collaboration skills for working with colleagues and sponsors
Willingness to guide and mentor junior team members
A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience
Willingness to work onsite at an SEI facility 5 days per week
Be able to obtain and maintain an active Department of War security clearance
Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences
Preferred
Previous experience in adversarial machine learning
Company
Software Engineering Institute | Carnegie Mellon University
At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Paul Nielsen
Director and CEO
Christopher Herr
Senior Engineer/Cybersecurity Exercise Developer and Trainer
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