Senior Machine Learning Research Scientist - Secure AI Lab
Software Engineering Institute | Carnegie Mellon University · Arlington, VA · 5 mo ago
EngineeringFull-time
Overview
The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. Our team conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.
Duties
- Identifying and investigating emerging AI and AI-adjacent technologies.
- Conducting and leading novel research in applied machine learning and artificial intelligence.
- Working with and leading interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
- Working 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.
- Collaborating with software developers, researchers, designers, and technical leads.
- Built relationships and collaborating with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions.
- Mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI AI Division.
Requirements
- 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.
- Ability to obtain and maintain an active Department of War security clearance.
- Willingness 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.