The Johns Hopkins University Applied Physics Laboratory
Hybrid (Laurel, MS, USA)
Description Do you want to lead the development of hybrid AI systems that apply and combine both statistical machine learning methods and cutting-edge mathematical optimization algorithms? Do you want to lead the technological transformation into the future of Intelligence, Surveillance, Reconnaissance (ISR) and Targeting? Are you excited about leading expert teams in training ML algorithms, developing AI agents, and developing trustworthy autonomous decision-making systems that orchestrate sensors, fuse divergent data, and make intelligent inferences in complex operational environments? If so, we'd love for you to join our team at APL. We are seeking a Senior Applied AI Researcher / Engineer with expertise in agentic AI, machine learning, and resource optimization to lead the design, implementation, and evaluation of next-generation AI-enabled ISRT systems. In this role, you will drive technical direction, mentor junior staff, and partner with...