Espresso AI

We’re using LLMs to build neural optimizers, neural scheduling systems, and neural workload tuners. Today we use ML to make data warehouses and Spark jobs more efficient. Staff ML engineers train models that can understand compute needs, scaling behavior, and how machines can run more jobs. Staff infra engineers deploy these models on real-world production systems. We’re also looking for FDEs to talk to users and run pilots; it’s a technical user-facing role requiring data analysis and debugging in production, suitable for a former or future technical founder.