Job Description
About the TeamLive-stream is a new and rapidly growing business that aims to bring joy to end users and allow more influencers to make an impact among their followers. And it's essential to pick the right live-stream for the right audiences. Our Live-stream Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques. Responsibilities
- Design and build backend systems that support large-scale recommendation workloads, including training, inference, and data pipelines.
- Develop robust and efficient model infrastructure, including distributed training pipelines and low-latency inference serving.
- Architect and improve data pipelines to enable efficient collection, preprocessing, and offline feature enginee...
- Design and build backend systems that support large-scale recommendation workloads, including training, inference, and data pipelines.
- Develop robust and efficient model infrastructure, including distributed training pipelines and low-latency inference serving.
- Architect and improve data pipelines to enable efficient collection, preprocessing, and offline feature enginee...
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