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Espresso AI | Staff ML, Staff Infra, FDE
- Location: Brooklyn or San Francisco
- Type: Full-time
- Source: Hacker News
About the Role
We are 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 are currently hiring for the following roles:
- Staff ML Engineers: 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 more.
- Staff Infra Engineers: Take those models and deploy them on real-world production systems.
- Field Deployment Engineers (FDEs): Help us talk to users and run pilots. This is a highly technical role (you must be able to perform data analysis and debug in production) that is also user-facing. It is an ideal fit for a former (or future) technical founder.
How to Apply
If this sounds cool, please email: alexis [at] espresso [dot] ai