Senior Staff Algorithm Engineer, Recommendation
Core
Own the technical direction of OKX's next-generation social feed recommendation system, evolving it into a unified engine for content and platform features to drive trading conversion.
Role type
Senior Staff Algorithm Engineer (Recommendation)
Builds
Unified recommendation engine for social feed, content, and platform features serving tens of millions of users.
Domain
Crypto exchange / Recommendation Systems / Generative AI
Deliverable
production ML models
Required skills
User intent modeling, Transformer-based ranking, Multi-task training, Business attribution modeling, Large-scale distributed training, Real-time feature engineering, LLM Agent frameworks, Generative recommendation
Preferred skills
First-author publication at RecSys/KDD/WWW, Bandit/RL production deployment, Fintech/crypto background
Technologies
Transformer, MMoE, PLE, ESMM, ListMLE, Flink, Kafka, LLM Agent, RLHF, DPO
Responsibilities
Drive continuous ranking model iteration to impact user retention and trading conversion; Build a cross-domain intent framework spanning content, feature usage, and search; Chart and execute a 12–24 month roadmap from Transformer-based ranking to generative recommendation; Integrate recommendation and search capabilities into an LLM Agent framework for proactive intent fulfillment.
Seniority
Senior Staff, hands-on IC with strategic ownership
