The ability to conduct independent research, communicate technical ideas clearly, collaborate effectively with academic and industry partners, and supervise or mentor junior researchers.
Cross-Border Localization: Partner closely with global technology centers to adapt, fine-tune, and scale core algorithmic frameworks for highly fragmented international markets.
Data-Driven Strategy: Detect bottlenecks and gaps in existing models and mechanism strategies through data analysis, formulating actionable improvement proposals and driving their implementation.
Data-Driven Strategy: Detect bottlenecks and gaps in existing models and mechanism strategies through data analysis, formulating actionable improvement proposals and driving their implementation.
Drive the deployment of large-scale models in vertical businesses, exploring methods such as Prompt Engineering, RAG, SFT, and preference optimization to continuously improve answer quality, task completion rate, and user satisfaction.
Analyze model behavior and recurring failures, formulate improvement hypotheses, and test them through training experiments while documenting results and their conditions.
Drive the automation and scaling of evaluation workflows. Build sustainable evaluation platforms and toolchains to support high-frequency, stable evaluation needs during rapid model iteration.
Build multimodal RAG systems, including development and optimization of key modules such as recall, ranking, long-text processing, and multi-document synthesis.