Okx24d ago

Principal AIgorithm Engineer, Search and Recommendation

Singaporelead

OtherEngineerPrincipal

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Quick Summary

Overview

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet,

Technical Tools

OtherEngineerPrincipal

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Role

~1 min read

We are looking for a Principal Algorithm Engineer to own the technical direction of OKX's next-generation social feed recommendation system — evolving it from a content feed into a unified engine that surfaces both content and platform features across tens of millions of users.

This is a hands-on, high-ownership role at the frontier of recommendation science. You will define the 12–24 month technical roadmap and personally drive its execution — from Transformer-based ranking today to generative recommendation and LLM-integrated agent paradigms tomorrow. Your work directly shapes user retention and platform trading conversion at global scale.

Responsibilities

~1 min read

→Drive continuous ranking model iteration with measurable, attributable impact on user retention and trading conversion
→Build a cross-domain intent framework spanning content consumption, feature usage, and search — shifting the system from tracking what users clicked to understanding what users are trying to do
→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
→Mentor senior engineers and help define the broader recommendation research and engineering strategy

Master's or above in Computer Science, Mathematics, or a related field from a top university; 8+ years of industry experience with 5+ years in core recommendation or search roles
Proven end-to-end ownership of production recommendation pipelines at 10M+ DAU scale
User Intent & Profiling (Core) — Hands-on experience designing unified intent representations across heterogeneous domains (content / feature / search); demonstrated ability to fuse real-time behavioral signals with long-term stable preferences; experience building tiered user profile systems across the full cold-start → interest exploration → stable preference lifecycle
Transformer & Sequential Ranking (Core) — Deep, practitioner-level command of Attention mechanisms in sequential behavior modeling and their production limitations (DIN / SIM / HSTU evolution); ability to propose independent architectural solutions under real engineering constraints; proficiency in Listwise loss functions (ListMLE / Softmax Loss) and joint multi-candidate ranking
Multi-Task Training (Core) — Expert-level knowledge of MMoE / PLE / ESMM architectures; hands-on experience identifying and resolving gradient conflicts; ability to design composite loss function frameworks from scratch; proven methodology for closing the gap between offline metrics (AUC / NDCG) and live business KPIs
Business Attribution (Core) — Hands-on Uplift Modeling experience; proficiency in Position / Selection Bias correction and prediction probability calibration

Nice to Have

~1 min read

Familiarity with Semantic Tokenization (FSQ / RQ-VAE), conditional sequence generation, or RLHF / DPO applied to recommendation systems
Engineering experience with LLM Agent frameworks (Tool Use / ReAct) and designing the collaboration boundary between agent-based and traditional recommendation
Hands-on experience with large-scale distributed training (10B+ parameter models), real-time feature pipelines (Flink / Kafka), and inference optimization under strict latency SLAs
Experience in fintech, Web3, or crypto platforms

What We Offer

~1 min read

✓Competitive total compensation package

✓L&D programs and Education subsidy for employees' growth and development

✓Various team building programs and company events

✓Wellness and meal allowances

✓Comprehensive healthcare schemes for employees and dependants

✓More that we love to tell you along the process!

Listing Details

Posted: April 2, 2026
First seen: April 2, 2026
Last seen: April 26, 2026

Posting Health

Days active: 23
Repost count: 0
Trust Level: 31%
Scored at: April 26, 2026

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Okx

greenhouse

OKX is a global cryptocurrency exchange and Web3 technology company, offering trading, wallet services, and access to decentralized finance. Founded in 2017, it serves millions of users in over 100 countries.

Employees

5k+

Founded

2017

Domain

Jobs

External application · ~5 min on Okx's site

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