ML Infrastructure Intern (Summer 2026)

Zaimler

San Mateo, CA internship

Posted: November 27, 2024

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Quick Summary

We are looking for an intern to assist in building and optimizing scalable data systems to process enterprise data, supporting the development of APIs and infrastructure.

Required Skills

Distributed Computing Data Systems API Development System Optimization System Performance Testing & Debugging Programming Languages (Python, Java, Go) Distributed Systems Communication Skills

Job Description

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.

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