Staff Applied MLE
zaimler· Machine Learning
About this role
About zaimler
AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.
zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.
zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk.
About the Role
This is a staff-level role for a seasoned AI/ML engineer who can operate at the intersection of research and production. You'll serve as the technical bridge between our research and applied engineering teams — translating cutting-edge ideas into robust, scalable systems while setting the strategic direction for how we train, evaluate, and deploy models. Deeply hands-on, but able to zoom out and set the agenda.
We're looking for someone who has been here before. Built the infra, shaped the strategy, and knows what good looks like at every layer of the ML stack.
Frequently Asked Questions
Is the salary disclosed for the Staff Applied MLE position at zaimler?
The salary for this Staff Applied MLE role at zaimler is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Staff Applied MLE position at zaimler located?
This Staff Applied MLE role at zaimler is based in San Mateo, CA. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Staff Applied MLE role at zaimler full-time or part-time?
This is listed as a Full Time position. It is posted as a Staff Applied MLE role in the Machine Learning department at zaimler.
Which team or department does the Staff Applied MLE at zaimler belong to?
This Staff Applied MLE position is part of the Machine Learning department at zaimler. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Staff Applied MLE position at zaimler?
Click the "Apply Now" button on this page. You will be redirected to zaimler's official application portal hosted on lever where you can submit your application directly.
When was the Staff Applied MLE job at zaimler posted?
This Staff Applied MLE position at zaimler was posted on Nov 27, 2024. Apply as soon as possible — early applications are often reviewed first.
Staff Applied MLE
zaimler
You'll be redirected to zaimler's official application page on Lever.