Senior Staff Algorithm Engineer, Recommendation

OKX

APAC
On-site
Transformer-based ranking
Generative recommendation
Llm agent framework
You will own the technical direction of OKX's next-generation social feed recommendation system — evolving it from a content feed into a unified recommendation engine that surfaces both content and platform features

Job Summary

  • You will own the technical direction of OKX's next-generation social feed recommendation system — evolving it from a content feed into a unified recommendation engine that surfaces both content and platform features.
  • Drive continuous ranking model iteration with measurable impact on user retention and trading conversion, and chart and execute a 12–24 month evolution from Transformer-based ranking toward generative recommendation.
  • OKX offers a competitive total compensation package, L&D programs, education subsidy, team building programs, wellness and meal allowance, and comprehensive healthcare schemes.

Matching Summary

You will own the technical direction of OKX's next-generation social feed recommendation system — evolving it from a content feed into a unified recommendation engine that surfaces both content and platform features.

Skills & Requirements

Must-have

  • Transformer-based ranking
  • Generative recommendation
  • LLM Agent framework
  • User intent framework
  • Real-time feature engineering

Nice-to-have

  • Fintech or crypto background
  • Bandit or RL production deployment
  • First-author publication

Key Requirements

  • Master's or above in CS / Math
  • 8+ years of experience
  • 5+ years in core recommendation / search roles
  • 10M+ DAU scale experience
  • Hands-on Uplift Modeling experience

Work Rights

Not specified

Tailored Resume

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