TikTok LBS Platform's goal is to build a global high-quality Location Based Service database and high-performance LBS services that connects TikTok users with nearby merchants and local services.
- Responsible for the design and development of algorithms related to the in-house construction of POI (Point of Interest) data for TikTok Local Services, including but not limited to data mining, quality evaluation, consistency validation, and intelligent review systems.
- Design and implement core Agent modules, including tool invocation planning, memory management, skill orchestration, and retrieval mechanisms; focus on self-healing capabilities, fallback strategies, and edge-case handling.
- Build the Agent evaluation framework by defining success metrics, designing regression testing methodologies for non-deterministic outputs, and quantifying trade-offs across cost, latency, and quality.
- Drive the application of large language models in POI scenarios, including fine-tuning, model distillation, knowledge base construction, and retrieval systems, with a strong focus on improving POI data quality.
- Deliver high-efficiency engineering outcomes through AI Coding workflows, leveraging AI toolchains to expand development capabilities and independently complete end-to-end delivery from algorithm design to deployment.
- Develop a deep understanding of POI data scenarios, identify real-world problems through data insights, and continuously drive algorithm iteration and optimization.
