Senior ML Infrastructure Engineer for Scalable AI Systems

A cutting-edge AI firm located in San Francisco seeks a Member of Technical Staff: ML Infrastructure. This role involves architecting and building the compute infrastructure, optimizing distributed systems for large-scale model training and serving. Candidates should have at least 6 years of relevant experience in developing ML infrastructure, knowledge of AI accelerator architectures, and proficiency in tools like Docker and Kubernetes. The position is full-time at a mid-senior level, offering opportunities to work on innovative AI solutions. #J-18808-Ljbffr