ML Infrastructure Engineer

The ML Infrastructure Engineer at Trajectory builds and optimizes the infrastructure for AI systems that continuously learn and improve their own training, inference, and kernels. The role focuses on unlocking significant performance improvements across the stack, including GPU scale, model size, throughput, memory efficiency, caching, and latency. This position spans training, inference, and kernel development, requiring deep expertise in at least one area and curiosity across the entire stack.