PyTorch Distributed Jobs

Liquid AI, spun out of MIT CSAIL, is developing general-purpose AI systems designed for efficient execution across various deployment targets, from data center accelerators to on-device hardware. The company focuses on ensuring low latency, minimal memory usage, privacy, and reliability, partnering with enterprises in consumer electronics, automotive, life sciences, and financial services. The Training Infrastructure team is building the distributed systems that power next-generation Liquid Foundation Models, requiring the design, implementation, and optimization of large-scale training infrastructure. This role is focused on runtime, performance, and reliability within training systems, offering a high-ownership opportunity to build critical systems from the ground up within a small team with fast feedback loops.