Cloudflare
This role defines how machine learning models run across Cloudflare's global network, focusing on inference optimization, evaluation, and production engineering for large-scale AI applications. The position involves collaborating with systems engineers and product teams to deploy models on heterogeneous GPUs with low latency and high reliability. Candidates will build benchmarking frameworks, optimize serving performance, and mentor engineers to raise the quality bar for production ML practices.
Headquarters
San Francisco, California, United States
Company Size
1001-5000 employees
Founded
2009
Cloudflare is a technology company delivering a connectivity cloud that connects users, applications, clouds, and networks. It offers over 60 cloud services focused on security, performance, networking, and edge computing, all unified on one global network. The platform includes Cloudflare One SASE, AI integration, and a developer platform for building and running applications.
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 Cloudflare.
Cloudflare didn’t post a salary, so this is our estimate from similar listings.
9% above the average for this role
Coming soon to a university near you
Feb 1, 2018