Assist in advancing program optimizations such as performance monitoring, exception management, and cache preloading. Participate in the full lifecycle from data collection to solution implementation, and develop a deep understanding of the engineering systems behind large-scale applications.
Track cyber attacks, perform reverse analysis of black-industry tools and cheating malware, restore attack methods and attack paths, and identify weak points in security defense.
Vertical Search Team: Build a full-stack search engine serving billions of global users, covering vertical scenarios such as photo-text search, user search, live search and music search. The scope also encompasses AI-powered search for standalone apps including Drama and Lemon8. We leverage LLM, NLP, and multimodal understanding technologies to iteratively enhance search quality and system performance.
Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
Develop a deep understanding of the business logic and merchant needs within e-commerce vertical domains, enabling Agents to accurately understand and execute highly specialized and complex business requirements, and truly solve real-world problems in merchant operations;
Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards, and data tools/products to lower the barrier to data usage, ensure stable and efficient system operations, and maximize data value.
Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.
Develop reliability platforms and engineering tools for the advertising systems, including monitoring, alerting, SLO management, risk governance, and resource management.