Machine Learning MLOps Engineer Graduate (MLOps) - 2027 Start
Core
Building and running large-scale, globally distributed, fault-tolerant ads systems with a focus on MLOps, inference reliability, and training pipeline excellence.
Role type
Graduate MLOps Engineer
Builds
Large-scale production inference services, offline ML training pipelines, and MLOps automation platforms
Domain
Advertising technology / Machine Learning Operations
Deliverable
production ML models
Required skills
Linux systems, networking, storage, Python/Go/C/C++/Java, application troubleshooting, production operations, SLO definition, infrastructure capacity planning, GPU/CPU resource management, ML framework deployment, observability tooling
Preferred skills
SRE of machine learning systems, SRE of ads/recommendation/search systems
Responsibilities
Define and drive SLOs for online ML inference systems; Ensure reliability of offline ML training pipelines; Drive infrastructure capacity planning and resource management; Lead enablement of new ML frameworks and GPU platforms; Design, build, and maintain MLOps platforms and automation tools
Seniority
Graduate (Entry-level)
