Carnegie Mellon University - Pittsburgh, PA
posted 4 months ago
At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering challenges 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. We discover and define the processes, practices, and tools to support operationalizing AI for human-centered, robust, secure, and scalable mission capabilities. We prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities, and we identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape. As a research scientist focusing on advanced computing, you will identify, shape, apply, conduct, and lead research that matches critical U.S. government needs. You will participate in or conduct novel research in advanced computing, advanced analytics, and applied machine learning. You will work with interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders. Your role will involve designing and developing solutions that provide needed capabilities to the government, building on state-of-the-art research in high-performance computing and edge architectures, data analytics, information architectures, machine learning, artificial intelligence, software architectures, and human-machine interaction. You will conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments, evaluate systems for performance and security, and test software capabilities using novel testing and analysis techniques. Collaboration is key, as you will actively participate on teams of developers, researchers, designers, and technical leads, contributing to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design sessions, and sharing insights across the SEI.