MakerMaker
This role focuses on researching and developing methods to make machine learning models more efficient, including quantization, speculative decoding, and distillation. The position involves designing algorithms, running large-scale experiments, and collaborating with engineers to implement these efficiency improvements in production. It requires a strong background in ML research with a focus on inference performance and model architecture.
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.
Right around the average for this role