Senior Machine Learning Research Scientist - Secure AI Lab

Overview

The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. The lab 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. The lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in areas such as counter AI research, AI and ML algorithm defense research, and applied adversarial machine learning.

Duties

• Identify and investigate emerging AI and AI-adjacent technologies.
• 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.
• Collaborate with 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.
• Mentor and teach others, participate in design sessions, and share 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.