资深算法工程师（J85105）
Core
Designing algorithm architecture for large-scale recommendation systems and developing high-concurrency, low-latency algorithms for personalized recommendations and ad ranking.
Role type
Senior IC recommendation algorithm engineer
Builds
Personalized recommendation and ad ranking systems serving millions of daily active users
Domain
Internet / Recommendation Systems
Deliverable
production ML models
Required skills
Recommendation algorithms, Multi-objective optimization, A/B testing design, C++ or Go, Model inference optimization, NLP, Multi-modal learning, Reinforcement learning
Preferred skills
Experience with large-scale system iteration, Deep understanding of recall/ranking stages
Technologies
C++, Go, NLP, Multi-modal, Reinforcement Learning
Responsibilities
Design algorithm architecture for large-scale recommendation systems; Develop high-concurrency, low-latency algorithms for personalized recommendations and ad ranking; Build multi-objective optimization models to balance user experience and business value; Design A/B testing frameworks to drive business decisions; Implement cutting-edge technologies (NLP, multi-modal, RL) into business scenarios.
