Machine Learning Ops Engineer, Global SRE

关于这个机会

Team Introduction MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the reliable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on. Responsibilities - Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems; - Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks; - Responsible for rolling out GPU model training in Non-China regions; - Responsible for stability of AIGC related machine learning tasks; - Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc;

任职要求

Minimum Qualification(s) - Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience. - Expertise in Linux operating systems, networking, storage. - Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java. - Experience in troubleshooting application issues, or production operations. - Effective communication skills and a sense of ownership and drive. Preferred Qualification(s): - Experience in SRE of machine learning systems. - Experience in SRE of ads/recommendation/search systems.

内推申请说明

本站为独立内推协助平台。申请会交由管理员核实岗位与内推渠道，不等于已在公司官网投递；薪资、岗位状态和实际招聘流程以官方信息为准。