Senior Machine Learning Research Scientist - Secure AI Lab

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. 

As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we 

·       build real-world, mission-scale AI capabilities through solving practical engineering problems 

·       discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities 

·       prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities 

·       identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape 

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. 

Overview: As a Senior Machine Learning Research Scientist, you will specialize in conducting adversarial machine learning (AML) research. 

The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, 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 Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: 

·       AI/ML Algorithm Attack Research: Study threat models targeting AI/ML algorithms, identify weak points, and design novel ways to subvert AI/ML systems.   

·       AI/ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI/ML algorithms and evaluate the effectiveness of defensive techniques. 

·       Applied AML: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors. 

Your day-to-day research tasks will include: 

·       Identifying and investigating emerging AI and AI-adjacent technologies. 

·       Performing and publishing impactful original research in the field of adversarial machine learning. 

·       Adapting and applying existing research in the field to solve real-world problems. 

·       Transitioning and providing guidance on AI capabilities to government sponsors. 

Duties:  

·       Hands-on research: You’ll conduct and lead novel research in applied machine learning and artificial intelligence. 

·       Solution development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for governme