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Machine Learning MLOps Engineer Graduate (MLOps) - 2027 Start
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- Bachelor’s/ Master’s degree in Computer Science or a related discipline.
About the job
Build and operate MLOps infrastructure for reliable, high-performance machine learning training and inference services.
What you'll do
- Define SLOs and improve reliability, availability, and performance of online inference systems and offline training pipelines.
- Plan infrastructure capacity and optimize GPU and CPU utilization for machine learning workloads.
- Build and maintain MLOps platforms, automation, monitoring, and operational tools; enable new ML frameworks and GPU platforms.
What they ask for
- Completing or recently completed a Bachelor’s/ Master’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
- Experience in SRE of machine learning systems.
- Experience in SRE of ads/recommendation/search systems.
Tools
Linux, Python, Go, C, C++, Java
AI focus
MLOps for machine learning training and inference, including reliability, capacity and resource management, platform enablement, and operational tooling.
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