微信-机器学习基础设施开发工程师（存储/向量检索/参数服务器）-系统架构方向
Core
Design and maintain core machine learning infrastructure components for the WeChat ecosystem, including storage systems, vector search engines, and parameter servers.
Role type
Senior IC machine learning infrastructure engineer (storage/vector search/parameter servers)
Builds
FeatureKV, WeGraphDB, UnionDB, SimOL, WePS
Domain
Internet / Distributed Systems / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
C/C++, Linux, distributed systems, storage engines, indexing, network communication, data structures and algorithms
Preferred skills
vector search, parameter servers, system architecture, performance optimization, code refactoring
Technologies
FeatureKV, WeGraphDB, UnionDB, SimOL, WePS
Responsibilities
Develop and maintain ML infrastructure components; optimize query efficiency and throughput; enhance component usability and availability; collaborate on technical reviews and troubleshooting; document best practices.