Principal ML Infrastructure Engineer — Scale GPU AI Systems

A leading technology firm in California seeks a skilled ML Infrastructure Engineer to lead the development and optimization of advanced ML infrastructure for generative and predictive AI models. The role involves designing distributed training pipelines, optimizing GPU operations, and building robust MLOps frameworks. Candidates should have extensive experience with distributed ML training on GPU clusters and be proficient in PyTorch and associated frameworks. This role promises a high-impact environment contributing to groundbreaking discoveries in molecular AI. #J-18808-Ljbffr