About this role
About the Team:
The TikTok Feeds Recommendation Architecture team is responsible for the design and development of TikTok's For You Feed recommendation system. Our scope spans the entire online and offline recommendation pipeline, including strategy, modeling, and data infrastructure. We build scalable and efficient infrastructure to support rapid algorithm iteration, tackle massive throughput challenges, and enhance system performance, cost-efficiency, and stability. Our mission is to abstract and generalize core infrastructure services, components, and productivity tools that empower the recommendation system at scale.
Responsibilities - What You'll Do
- Participate in the engineering architecture requirement alignment, design, and implementation for various scenarios related to TikTok content understanding.
- Contribute to improving R&D efficiency across content understanding scenarios, including but not limited to testing, deployment, monitoring, and root cause analysis.
- Responsible for optimizing system stability, performance, and scalability across different scenarios.
The TikTok Feeds Recommendation Architecture team is responsible for the design and development of TikTok's For You Feed recommendation system. Our scope spans the entire online and offline recommendation pipeline, including strategy, modeling, and data infrastructure. We build scalable and efficient infrastructure to support rapid algorithm iteration, tackle massive throughput challenges, and enhance system performance, cost-efficiency, and stability. Our mission is to abstract and generalize core infrastructure services, components, and productivity tools that empower the recommendation system at scale.
Responsibilities - What You'll Do
- Participate in the engineering architecture requirement alignment, design, and implementation for various scenarios related to TikTok content understanding.
- Contribute to improving R&D efficiency across content understanding scenarios, including but not limited to testing, deployment, monitoring, and root cause analysis.
- Responsible for optimizing system stability, performance, and scalability across different scenarios.