搜索内容算法工程师（J81394）
Core
Develop core algorithms for a massive-scale indexing and filtering system to understand, evaluate, and rank heterogeneous web content (text, video, links) to improve search product quality and efficiency.
Role type
Senior IC search algorithm engineer (content understanding & indexing)
Builds
Large-scale search index, content value evaluation systems, and multi-modal content relationship networks
Domain
Search engines, NLP, Machine Learning
Deliverable
production ML models
Required skills
NLP, Machine Learning, Pattern Recognition, C/C++, Python, Deep Learning frameworks (Paddle, PyTorch, TensorFlow), Data Structures & Algorithms
Preferred skills
Experience in search business, Deep expertise in NLP
Technologies
Paddle, PyTorch, TensorFlow
Responsibilities
Define and maintain content value standards (quality, spam, AIGC detection) across the ingestion-to-indexing pipeline; Build fine-grained understanding systems for domain and regional content types; Construct multi-modal content relationship systems to detect duplicates and establish authority; Optimize multi-objective indexing and filtering algorithms to balance cost, efficiency, and retrieval quality.
Seniority
Mid-level, hands-on IC
