AI-enhanced for better readability
Espresso AI - Job Openings
Positions: Staff ML Engineer, Staff Infrastructure Engineer, Field Deployment Engineer (FDE) Locations: Brooklyn or San Francisco Employment Type: Full-time
About the Role
Espresso AI is leveraging LLMs to build:
- Neural optimizers
- Neural scheduling systems
- Neural workload tuners
(Think of it like Borg powered by LLMs, if you're ex-Google.)
We currently use ML to improve the efficiency of data warehouses and Spark jobs.
Open Positions
Staff ML Engineer
Responsibilities:
- Train models to understand:
- Compute needs of a job
- How a job scales to larger machines
- Whether a machine can run more jobs
Staff Infrastructure Engineer
Responsibilities:
- Deploy the trained models on real-world production systems.
Field Deployment Engineer (FDE)
Responsibilities:
- Interact with users and run pilot programs.
- Perform data analysis.
- Debug in production environments.
Ideal Candidate: A technical individual with experience as a technical founder.
Contact
If interested, please email ben [at] espresso [dot] ai