Senior Recommendation System Engineer

📋 Description Multi-stage Engine Development: Own high-concurrency recommendation pipelines. Real-time Feature Engineering & Data Consistency governance. Large-scale Retrieval & Vector Infrastructure: Faiss/Milvus tuning. High-performance Model Inference & Compute Optimization. System Performance, Global Observability & Experimentation Infrastructure. 🎯 Requirements 5+ years in recommendation system engineering at consumer-scale internet companies. Led architecture refactoring or launches of real-time recommender systems. Strong CS fundamentals; proficient in Go/Java/C++ (Go preferred). Experience with Spark/Flink/Kafka; Milvus/Faiss deployment. Deep understanding of algorithms and online bottlenecks; system design. Proven ability to design high-performance recommendation platforms. 🎁 Benefits Study Growth Fund for professional development. Internal events and workshops to promote collaboration. Global collaboration with an international team. Career advancement opportunities within a growing company. Internal mobility for your long-term career path.