岗位职责
Job description： - Lead the design and optimization of search relevance, ranking, and overall user experience on the Mi.com platform - Architect and evolve end-to-end search systems, including query understanding, retrieval, ranking, and re-ranking pipelines - Build scalable and production-ready ML systems for search, handling large-scale real-time and unstructured data - Develop advanced query understanding capabilities (e.g., query rewriting, intent classification, semantic parsing) - Optimize system performance across relevance, latency, and scalability dimensions - Deploy, monitor, and troubleshoot ML models in production environments - Mentor junior engineers and collaborate cross-functionally to deliver impactful search improvements
职位要求
Requirement： - Bachelor’s degree or above in Computer Science or a related field - 5+ years of experience in search, information retrieval, or large-scale ML systems - Proficiency in Java with strong engineering fundamentals - Hands-on experience building large-scale search or recommendation systems - Familiarity with vector search infrastructure (e.g., FAISS or similar systems) - Proven experience building scalable ML systems in production (training → deployment → monitoring → iteration) - Strong leadership and communication skills. Ability to communicate in Mandarin and English, in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.
