策略模型推理优化工程师（J100454）
Core
Building international ad feature systems and sample pipelines, developing high-performance online inference services for ad recommendation, and optimizing bidding and traffic strategies to improve ad delivery effectiveness and platform monetization.
Role type
Senior IC strategy model inference optimization engineer
Builds
High-performance, low-latency ad estimation and ranking services; real-time feature and sample data pipelines; ad strategy optimization systems
Domain
Advertising technology, Recommendation systems, Real-time data processing
Deliverable
production ML models
Required skills
C++ / Golang / Java / Python, Distributed systems, High concurrency, Low latency, Cache optimization, Message queues, RPC, Linux, Data structures and algorithms, System design
Preferred skills
Ad systems, Search engines, Recommendation systems, Large model inference deployment, TensorFlow / PyTorch / Paddle / ONNX / Triton, Spark / Flink / Kafka / Hive / Hadoop / Redis / ClickHouse
Responsibilities
Build international ad feature systems and sample data pipelines; Develop online inference services for ad recommendation; Optimize ad bidding and traffic strategies; Build system stability and efficiency platforms for monitoring and resource scheduling
