Staff ML, Staff Infra, FDE

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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. ) 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

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