MakerMaker
This role involves building and maintaining the ML systems and pipelines that support research, translating research code into reliable production infrastructure. The engineer will own the full lifecycle of ML systems, including data pipelines, training, evaluation, deployment, and observability, to ensure experiments run correctly at scale. The position requires close collaboration with researchers to understand their needs and improve system performance and reliability.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for MakerMaker.
MakerMaker didn’t post a salary, so this is our estimate from similar listings.
16% above the average for this role