Design and implement reasonable offline data architecture for large-scale recommendation systems. Design and implement flexible, scalable, and high-performance storage and computing systems
Ensure high-quality content benchmarking across BPO teams, support the setup, onboarding, and training of new BPO teams. Manage policy clarifications, calibrations, and arbitration processes. Analyze BPO team performance to identify knowledge gaps and systemic issues.
Responsible for the design, development, and iteration of AI Agents in TikTok Shop business scenarios, covering the full cycle from requirement analysis to architecture design, development, and launch, delivering intelligent and efficient product experiences for merchants and users;
Responsible for the search system of TikTok and its affiliated products, and solving the architecture optimization problem of the search architecture system;
Product Development & Optimization: Assist in designing and improving LIVE ecosystem governance tools and strategies to enhance content quality and platform safety. Develop user education strategies to promote positive engagement and prevent violations in the livestreaming community.
Build and enhance the broadcaster operation platform capabilities for LIVE scenarios, including but not limited to broadcaster center, performance review and diagnosis, fan engagement, promotion tools, and content optimization. Diagnose business status, identify critical pain points, and develop differentiated solutions.
Responsible for assisting in the onboarding and maintenance of agency and host resources in the Malaysia region, and maintaining cooperative relationships.
Design, develop, and optimize intelligent Agent systems across the e-commerce platform governance workflow, covering key functions such as risk detection, risk assessment, appeal handling, and root cause analysis (RCA).
Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.