ML Infrastructure Intern; Summer

Position: ML Infrastructure Intern (Summer 2026)
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 gine 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, Linked In), who built one of the largest knowledge graphs in production in the industry '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 Distributed Computing and Data Systems. In this internship, you'll play a critical part in developing distributed systems, optimizing data pipelines, and collaborating with machine learning experts to tackle real-world challenges in AI/ML operations.

What You Will be Doing

• Assist in building and optimizing scalable data systems to process enterprise data.
• Support the development of APIs and infrastructure powering our AI/ML platform.
• Collaborate with engineers to improve system performance, reliability, and scalability.
• Participate in testing and debugging distributed systems in production environments

Prior Experience

• A current student or recent graduate in Computer Science, Data Engineering, or a related field.
• Startup internship experience is highly preferred
• Knowledgeable in programming languages like Python, Java, or Go.
• Strong background in the fundamentals of distributed computing
• Great communication skills and a team player
• Willingness to learn

Nice to Haves

• Experience with tools such as Kafka, Ray, or Kubernetes.
• Interest in AI/ML systems or large-scale data challenges.
• Prior work with event-driven or stateful workflow systems.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.