Machine Learning MLOps Intern (Global SRE) - 2027 Summer
Core
Building and running large-scale, globally distributed, fault-tolerant ads systems with a focus on SRE and MLOps for machine learning inference and training pipelines.
Role type
Intern, SRE/MLOps
Builds
Large-scale production inference services, offline ML training pipelines, and MLOps automation platforms
Domain
Advertising technology, Machine Learning Operations, Cloud Infrastructure
Deliverable
infrastructure
Required skills
Linux, networking, storage, Python, Go, C, C++, Java, troubleshooting, production operations
Responsibilities
Define and drive SLOs for online ML inference systems; Ensure reliability of offline ML training pipelines; Drive infrastructure capacity planning and resource management; Enable new ML frameworks and GPU platforms; Design and maintain MLOps platforms and automation tools
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