Senior Machine Learning Research Scientist, Secure AI Lab
Listed on 2026-08-03
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IT/Tech
AI Business & Operations, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Jobs / Senior Machine Learning Research Scientist, Secure AI Lab
Senior Machine Learning Research Scientist, Secure AI LabFull-time
About the RoleAt 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 toprovideleap-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, andmaintainingAI 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 inconductingresearch into the vulnerabilities of AIandML algorithms and securing against those vulnerabilities.
The Secure AILab 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 Secure AILabconducts and appliescutting-edge research toprotectAI systems fromadversaries who aim to manipulatethe systemto learn, do, or revealsomething itisn’tsupposed to.
The Secure AILab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:
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