LLM Machine Learning Engineer, Vertical Search

About the team Our Search Team is responsible for building and owning search engine which provides our users the best search experience. On our Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving. Job Responsibilities Be responsible for the iterative optimization of vertical search or independent short drama app search quality and relevance algorithm directions. Based on multi-modal technology for content understanding, grasp the core characteristics of the photo-text or short drama genre, focus on optimizing relevance models, solve core pain points such as semantic alignment and cross-modal matching, break through technical bottlenecks, expand the contribution of vertical search to the search business, and create a high-quality vertical search experience that meets user needs. Core Responsibilities: 1. Multi-modal understanding: focus on solving core pain points such as semantic alignment and cross-modal matching deviation, and integrate the visual features, text semantics and other data. 2. Be responsible for the optimization of relevance and quality, and promote the experience improvement in vertical search distribution by combining LLM/VML technologies. 3. Engineering implementation and algorithm performance optimization: be responsible for the engineering implementation of vertical search algorithm models, complete the full-process optimization of model training, inference and deployment, and ensure the online stability of algorithms. 4. Track cutting-edge technology trends, carry out technical pre-research and innovative practices combined with search business scenarios, explore in-depth applications in semantic understanding and relevance matching, form technical precipitation, and improve the technical competitiveness of the team.