Job Description

We’re hiring staff ML engineers to train models that can understand how much compute a job needs, how it scales to larger machines, whether a machine can run more jobs, and so on. This role is part of Espresso AI’s effort to use LLMs to build neural optimizers, neural scheduling systems, and neural workload tuners. We’re applying ML to make data warehouses and Spark jobs more efficient. This is a highly technical role focusing on model development and systems optimization. Strong data analysis and production debugging skills are expected.