Principal Aigorithm Engineer, Search And Recommendation
OKX
Singapore, Singapore
On-site
Transformer-based sequential ranking
User intent & profiling
Multi-task training
This role will own the technical direction of OKX's next-generation social feed recommendation system, evolving it into a unified engine for content and platform features across tens of millions of users
Job Summary
This role will own the technical direction of OKX's next-generation social feed recommendation system, evolving it into a unified engine for content and platform features across tens of millions of users.
You will define and execute the technical roadmap, moving from Transformer-based ranking to generative recommendation and LLM-integrated agent paradigms.
The position requires hands-on experience in user intent, sequential ranking, multi-task training, and business attribution, with a focus on production systems at scale.
Matching Summary
This role will own the technical direction of OKX's next-generation social feed recommendation system, evolving it into a unified engine for content and platform features across tens of millions of users.
Skills & Requirements
Must-have
Transformer-based sequential ranking
User Intent & Profiling
Multi-Task Training
Business Attribution
production recommendation pipelines
Nice-to-have
LLM Agent frameworks
large-scale distributed training
real-time feature pipelines
inference optimization
fintech, Web3
Key Requirements
8+ years of industry experience
5+ years in core recommendation or search roles
10M+ DAU scale experience
Master's or above in Computer Science, Mathematics, or related field