Requisition Id 16411
Seeking a Research Scientist for the Analytics and AI Methods at Scale (AAIMS) group to advance AI for scientific discovery, focusing on reasoning, federated learning, and reinforcement learning on supercomputers. Responsibilities include designing, training, and evaluating AI systems for domains like materials, chemistry, climate, and biology, leveraging HPC resources. Focus areas encompass agentic AI, scientific reasoning, self-improving models, foundation models at scale, and federated learning. The role involves conducting research, collaborating with scientists, publishing, software development, and presenting findings. Basic qualifications include a Ph.D. in a relevant field, experience with HPC or AI research, and programming skills. Preferred candidates have large-scale experiment experience and familiarity with distributed training frameworks. Application requires two reference letters and offers opportunities in a collaborative, innovative environment with extensive benefits.