Carnegie Mellon University - Pittsburgh, PA
posted 2 months ago
As a Machine Learning Engineer in the AI for Autonomy Lab at Carnegie Mellon University, you will play a pivotal role in identifying, shaping, applying, conducting, and leading engineering research that aligns with critical needs of the U.S. government. The AI for Autonomy Lab focuses on researching and demonstrating the application of AI-related technologies to enhance the performance of autonomy systems. This position is integral to the SEI AI Division, which is dedicated to advancing the discipline of AI Engineering for Defense and National Security. You will be part of a team that builds real-world, mission-scale AI capabilities by solving practical engineering problems and preparing government customers for the unique challenges associated with adopting and deploying AI technologies. In this role, you will engage in solution development by collaborating with interdisciplinary teams to transform research findings into prototype operational capabilities for government stakeholders. You will also lead hands-on prototyping efforts in applied artificial intelligence, particularly focusing on machine learning applications in autonomy and uncrewed systems across multiple domains. Your strategic input will be crucial as you work with AI Division leaders to develop and execute a comprehensive research and engineering strategy, influencing the national agenda regarding future technology. Collaboration is key in this position; you will actively participate in teams comprising software developers, researchers, designers, and technical leads. Building relationships with researchers, government customers, and other stakeholders will be essential to understanding their challenges and needs, as well as exploring possible solutions and research directions. Additionally, you will contribute to the technical growth of the team by mentoring and teaching others, participating in design sessions, and sharing your insights across the SEI Artificial Intelligence Division.