Staff Applied Machine Learning Engineer
- Location
- San Mateo, CA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Listed
- 30 days ago
Skills & highlights for this role
- machine learning
- model training
- model evaluation
- model deployment
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.
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.
From zaimler's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Staff Applied Machine Learning Engineer job at zaimler located?
This Staff Applied Machine Learning Engineer position at zaimler is located in San Mateo, CA (On-site). Always check zaimler's application page for specific state eligibility or relocation policies.
What qualifications are required for Staff Applied Machine Learning Engineer at zaimler?
For the Staff Applied Machine Learning Engineer role, zaimler highlights experience with machine learning, model training, model evaluation, model deployment. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Staff Applied Machine Learning Engineer position at zaimler?
This listing links directly to zaimler's Lever application page. You can apply directly on zaimler's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.