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Machine Learning MLOps Intern (Global SRE) - 2027 Summer
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a Bachelor’s degree in Computer Science or a related discipline.
About the job
Build and operate MLOps infrastructure for large-scale machine learning training and inference, improving reliability, performance, and resource utilization.
What you'll do
- Define SLOs and improve reliability, availability, and performance of online inference services and offline training pipelines.
- Plan capacity and optimize GPU and CPU utilization; enable new machine learning frameworks and GPU platforms in production.
- Build and maintain MLOps platforms and automation for quota management, diagnostics, monitoring, resource management, and operations.
What they ask for
- Currently pursuing a Bachelor’s degree in Computer Science or a related discipline.
- Expertise in Linux operating systems, networking, and storage.
- Programming experience in at least one of Python, Go, C, C++, or Java.
- Experience troubleshooting application issues or in production operations; effective communication, ownership, and drive.
Nice to have
- SRE internship experience involving large-scale advertising, recommendation, search systems, or large-scale cloud platforms.
Tools
Linux, Python, Go, C, C++, Java, GPU, CPU
AI focus
Operate and improve machine learning inference and training systems, including deployment of frameworks and GPU platforms while maintaining model quality and business performance.
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