Machine Learning Ops Engineer, Global SRE
Core
Ensuring stability and efficiency of machine learning systems across the full lifecycle from data preparation to model serving.
Role type
Senior IC MLOps/SRE engineer
Builds
Online and offline machine learning serving and training systems
Domain
Global Monetization Products and Technology
Deliverable
production ML models
Required skills
Linux operations, networking, storage, Python/Go/C/C++/Java programming, production troubleshooting, resource management, cost optimization
Preferred skills
SRE experience for ML systems, SRE experience for ads/recommendation/search systems
Responsibilities
Setting and maintaining SLOs for online ML serving systems, maintaining stability of offline ML training tasks, rolling out GPU model training in Non-China regions, ensuring stability of AIGC related ML tasks, managing and planning ML resources including cost, budget, and efficiency
Seniority
Senior, hands-on IC
