Espresso AI

Using LLMs to build neural optimizers, neural scheduling systems, and neural workload tuners. Applying ML to make data warehouses and Spark jobs more efficient. Hiring staff ML engineers to train models that predict compute needs, scaling behavior, and job placement; and staff infra engineers to deploy those models into production systems. Location: Brooklyn or San Francisco. Full time.