Principal Aigorithm Engineer, Search And Recommendation
OKX
Singapore, Singapore
On-site
Transformer-based ranking models
User intent and profiling
Sequential behavior modeling
Drive continuous ranking model iteration with measurable, attributable impact on user retention and trading conversion
Job Summary
Drive continuous ranking model iteration with measurable, attributable impact on user retention and trading conversion.
Chart and execute the technical evolution from Transformer-based sequential ranking toward generative recommendation, including sequence generation and preference alignment.
Integrate recommendation and search capabilities into an LLM Agent framework, moving from passive content delivery to proactive intent fulfillment.
Matching Summary
Drive continuous ranking model iteration with measurable, attributable impact on user retention and trading conversion.
Skills & Requirements
Must-have
Transformer-based ranking models
User intent and profiling
Sequential behavior modeling
Multi-task learning architectures
Business attribution and uplift modeling
Nice-to-have
Generative recommendation systems
LLM Agent frameworks
Large-scale distributed training
Fintech or Web3 experience
Key Requirements
8+ years industry experience
5+ years in recommendation or search
Production recommendation pipelines at 10M+ DAU scale