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Backend Software Engineer (Location-Based Services) - TikTok Local Service
TikTok LBS Platform's goal is to build a global high-quality LBS database and high-performance LBS services that connects TikTok users with nearby merchants and local services.
- Build a global POI (Point of Interest) database, multi source POI integration and POI nearby search service to support TikTok local services.
- Build geocoding database, geocoding service, and IP Location service to support TikTok local services and monetization product
Here, you鈥檒l be exploring cutting-edge technology alongside experts, pushing the boundaries of imagination. Here, every line of your code will serve billions of users. Here, the team is professional and driven, with a collaborative atmosphere that is equal and relaxed.
- Participate in building an online streaming data scheduling system to ensure overall data scheduling performance and high scalability.
- Participate in constructing the entire POI (Point of Interest) data access process and the online/offline data cleansing modules.
- Engage in developing the core POI processing system, including admission, integration, and aggregation service modules, to meet daily data update requirements at the billion level.
- Continuously analyze and deeply explore system deficiencies to improve system performance and stability.
- Collaborate with AI engineers to establish efficient module update and release mechanisms and processes, enhancing the overall system development and iteration efficiency.
- Build a global POI (Point of Interest) database, multi source POI integration and POI nearby search service to support TikTok local services.
- Build geocoding database, geocoding service, and IP Location service to support TikTok local services and monetization product
Here, you鈥檒l be exploring cutting-edge technology alongside experts, pushing the boundaries of imagination. Here, every line of your code will serve billions of users. Here, the team is professional and driven, with a collaborative atmosphere that is equal and relaxed.
- Participate in building an online streaming data scheduling system to ensure overall data scheduling performance and high scalability.
- Participate in constructing the entire POI (Point of Interest) data access process and the online/offline data cleansing modules.
- Engage in developing the core POI processing system, including admission, integration, and aggregation service modules, to meet daily data update requirements at the billion level.
- Continuously analyze and deeply explore system deficiencies to improve system performance and stability.
- Collaborate with AI engineers to establish efficient module update and release mechanisms and processes, enhancing the overall system development and iteration efficiency.