Systems Engineer

River AI is seeking a Systems Engineer to build and optimize distributed training engines for the River API, focusing on making fine-tuning and reinforcement learning fast and reliable across large GPU clusters. The role involves owning the execution of training workloads, improving GPU memory and communication efficiency, and implementing robust checkpointing and recovery systems. This position requires close collaboration with researchers and inference engineers to bring new learning methods into production and enhance model compute efficiency.