INTERNSHIP DETAILS

Frontend Engineering Intern (Summer 2026)

Companyzaimler
LocationSan Mateo
Work ModeOn Site
PostedFebruary 6, 2026
Internship Information
Core Responsibilities
Interns will build and improve frontend components and pages in zaimler's web application, as well as develop interactive visualizations for knowledge graphs and data relationships. They will work closely with designers and product engineers to create polished, responsive interfaces.
Internship Type
internship
Company Size
2
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company

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About the 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 a small, senior team at the seed stage, deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of AI runs on, we'd love to talk.


About the Job


We are looking for a few interns to join us either part-time through the year or full-time for the summer. The ideal candidate should have an interest and some experience in frontend development and building interfaces for complex, data-rich applications. In this internship, you'll work on the product surfaces that enterprise data teams use to explore, validate, and interact with zaimler's semantic graph systems. You will get hands-on experience building UI components that make complex data infrastructure intuitive and usable.

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What You Will Be Doing
  • Build and improve frontend components and pages in zaimler's web application
  • Develop interactive visualizations for knowledge graphs, data relationships, and pipeline status
  • Work with designers and product engineers to translate requirements into polished, responsive interfaces
  • Integrate frontend components with backend APIs and real-time data sources
  • Contribute to frontend tooling, component libraries, and design system foundations


Prior Experience
  • Pursuing a Bachelors or Masters in CS
  • Startup internship experience is highly preferred
  • Proficiency in JavaScript/TypeScript and React
  • Interest in building complex, data-dense interfaces (dashboards, graph visualizations, developer tools)
  • Understanding of HTML, CSS, and responsive design principles
  • Familiarity with state management patterns
  • Strong eye for detail and care about user experience
  • Experience with version control (Git) and collaborative development workflows
  • Great communication skills and a team player


Nice to Have
  • Experience with data visualization libraries (D3.js, Recharts, or similar)
  • Familiar with graph visualization
  • Experience with Next.js or other React frameworks
  • Familiar with design tools (Figma, Storybook)
  • Interest in developer tooling, infrastructure UIs, or enterprise product design


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We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you. zaimler is an equal opportunity employer.

Key Skills
JavaScriptTypeScriptReactHTMLCSSResponsive DesignState ManagementUser ExperienceVersion ControlCollaborationData VisualizationGraph VisualizationNext.jsFigmaStorybookDeveloper Tooling
Categories
TechnologyEngineeringSoftwareData & Analytics