算法工程师-地理位置中台专项
Core
Build algorithms for POI search and address understanding, including query comprehension, search correction, entity recognition, semantic matching, and recall ranking.
Role type
Senior IC machine-learning engineer (geospatial search & multimodal)
Builds
POI and address data accuracy, relevance, coverage, and multimodal understanding capabilities for search, recommendation, and map services.
Domain
Geospatial services, search, e-commerce, advertising
Deliverable
production ML models
Required skills
Python, C++, Java, NLP, computer vision, multimodal learning, machine learning, deep learning, large language models (LLM)
Preferred skills
experience in search, multimodal understanding, data mining, life services, e-commerce, map, or advertising scenarios, academic publications, high-level competition wins
Technologies
LLM, MLM, NLP, CV, deep learning frameworks
Responsibilities
Develop algorithms for query understanding, search correction, entity recognition, and semantic matching; mine high-value features from multi-source data to optimize POI and address data quality; build multimodal understanding capabilities integrating text, image, and spatial information; apply NLP, CV, and LLM technologies to complex query and address understanding tasks; solve complex problems in life services, e-commerce, and advertising scenarios.
Seniority
Senior, hands-on IC
