OKX

3 months ago

Senior Staff Algorithm Engineer, Recommendation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead the technical direction of OKX's next-generation social feed recommendation system, evolving it from content-centric to a unified recommendation engine that surfaces content and platform features for tens of millions of users and drives trading conversions. Own end-to-end recommendation pipelines, cross-domain intent representations, and a roadmap from Transformer-based ranking to generative recommendation, within a large distributed system.

Location: Hong Kong, Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Elevate the Ranking System — Drive continuous ranking model iteration with measurable impact on user retention and trading conversion
•Unify User Understanding — Build a cross-domain intent framework spanning content consumption, feature usage, and search, shifting the system from “what users clicked” to “what users are trying to do”
•Define the Technical Roadmap — Chart and execute a 12–24 month evolution from Transformer-based ranking toward generative recommendation (sequence generation + preference alignment)
•Pioneer the Agent Paradigm — Integrate recommendation and search capabilities into an LLM Agent framework, enabling proactive intent fulfillment rather than passive content delivery
•Own end-to-end recommendation pipelines at scale (10M+ DAU) and drive real-time feature engineering and model serving

Pay and Benefits

Perks:Learning BudgetWellness StipendMeal AllowanceHealth Insurance

Key Requirements

•Master's degree or above in CS / Math from a top university; 8+ years of experience with 5+ years in core recommendation / search roles; track record of owning end-to-end recommendation pipelines at 10M+ DAU scale
•Experience designing unified intent representations across heterogeneous domains (content / feature / search); ability to fuse real-time behavioral signals with long-term stable preferences; hands-on experience with tiered user profile systems (cold-start → interest exploration → stable preference)
•Deep understanding of Attention mechanisms in sequential behavior modeling and their limitations (DIN / SIM / HSTU evolution); proficiency in ListMLE / Softmax Loss and joint multi-candidate ranking
•Expert-level knowledge of MMoE / PLE / ESMM and gradient conflict identification and mitigation; ability to design composite loss function frameworks and bridge offline metrics with online KPIs
•Understanding of Semantic Tokenization (FSQ / RQ-VAE) and conditional sequence generation; working-level knowledge of RLHF / DPO applied to recommendation systems

Experience:8+ yearsCryptocurrencyFintechCryptoExchange

Education:Master's

Skills:CommunicationProblem-solvingLeadership

Languages:English

Tech Stack:TransformerRankingLLMFlinkKafkaListMLESoftmax LossRLHFDPOReActGenerative Recommendation

Company Brief

OKX

Global cryptocurrency exchange and Web3 technology provider offering spot and derivatives trading, custody, wallet services, and blockchain infrastructure to retail and institutional users worldwide.

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: Victoria, Seychelles

Founded: 2017

Website LinkedIn

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OKX