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© All Rights Reserved. ApplyBlast.com
egnyte
The role focuses on fine-tuning and training large language models using Hugging Face and adapter methods, optimizing them for inference, and deploying them to edge devices, mobile, and local servers. The engineer will also build end‑to‑end MLOps pipelines, monitor production performance, and evaluate model quality.
Headquarters
Mountain View, California, United States
Company Size
501-1000 employees
Founded
2008
Egnyte provides a secure content cloud platform trusted by 23,000+ content-critical businesses worldwide, centralizing file storage, secure file sharing, collaboration, and governance across on-premises and cloud environments. The platform includes AI-powered content insights, ransomware safeguards, and governance tooling, with APIs and admin controls to enforce policies across productivity apps and cloud services. It serves industries such as architecture, engineering and construction (AEC), financial services, life sciences, and media & entertainment, and integrates with Google Workspace, Microsoft 365, Salesforce, and other common tools.
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 egnyte.
egnyte didn’t post a salary, so this is our estimate from similar listings.
20% below the average for this role