Espresso AI ML, Infra, FDE Brooklyn or San Francisco Full time
Staff ML engineer to train models for compute resource optimization and scaling, and staff infra engineer to deploy models on production systems. FDEs to work with users and run pilots.
Espresso AI | Staff ML, Staff Infra, FDE | Brooklyn or San Francisco | Full time We're using LLMs to build neural optimizers, neural scheduling systems, and neural workload tuners. (If you're ex-Google, you can think of it like Borg powered by LLMs.) Today we use ML to make data warehouses and spark jobs more efficient. 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; and staff infra engineers to take those models and deploy them on real-world production systems. We're also looking for FDEs who can help us talk to users and run pilots. This is a pretty technical role (you need to be able to do data analysis and debug in prod) that's also user-facing - it should be a good fit for a former (or future) technical founder. If this sounds cool, please email me: alexis [at] espresso [dot] ai
Posted June 5, 2026