Site Reliability Engineer - Applied Machine Learning - USDS

About the Team:Site Reliability Engineering (SRE) of the AML (Applied Machine Learning) team combines system engineering and the art of machine learning to develop and run massively distributed AI/ML systems like recommendation or LLM in the United States and around the world. In the SRE team, you'll have the opportunity to sharpen your expertise in coding, performance analysis, and large-scale system operation, and get heavily involved in the process of hardware/capacity decision-making. SRE ensures that critical machine learning systems have the highest level of availability, as well as creating highly automated systems and pipelines. Join us and you'll have the chance to shape the future of AML systems and make a real, tangible impact on TikTok users. Responsibilities:
- Design, build, and maintain highly available, scalable, and fault-tolerant systems.
- Monitor and analyze system performance, identifying and resolving issues before causing user impact.
- Develop and maint...

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