
Principal AIgorithm Engineer, Search and Recommendation at OKX
Singapore, SingaporeFull-timeEngineeringPosted about 1 month ago
About the Role
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<h2 class="heading-2 ace-line old-record-id-ARMWdtKDIowwlyxaSOuuzEqssIf"><strong>Who We Are</strong></h2>
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<div class="ace-line ace-line old-record-id-doxusxfrenHjJKtgnorBrzgGFPb">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: <em>We Before Me</em>, <em>Do the Right Thing</em>, and <em>Get Things Done</em>. 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.</div>
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<h2 class="heading-2 ace-line old-record-id-PiRwdXFmiomeQDxx0RUuDGJ1sag"><strong>About the Opportunity</strong></h2>
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<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">We are looking for a <strong>Principal Algorithm Engineer</strong> 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.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">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.</p>
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<h2 class="heading-2 ace-line old-record-id-HytwdMMd1o5PQtxqi9QudDSMsWV"><strong>What You’ll Be Doing</strong><strong> </strong></h2>
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<li class="whitespace-normal break-words pl-2">Drive continuous ranking model iteration with measurable, attributable impact on user retention and trading conversion</li>
<li class="whitespace-normal break-words pl-2">Build a cross-domain intent framework spanning content consumption, feature usage, and search — shifting the system from tracking <em>what users clicked</em> to understanding <em>what users are trying to do</em></li>
<li class="whitespace-normal break-words pl-2">Chart and execute the technical evolution from Transformer-based sequential ranking toward generative recommendation, including sequence generation and preference alignment</li>
<li class="whitespace-normal break-words pl-2">Integrate recommendation and search capabilities into an LLM Agent framework, moving from passive content delivery to proactive intent fulfillment</li>
<li class="whitespace-normal break-words pl-2">Mentor senior engineers and help define the broader recommendation research and engineering strategy</li>
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<h2 class="heading-2 ace-line old-record-id-ZvAmdvgIGoKyiHxjBTiu68Kcs9d"><strong>What We Look For In You </strong></h2>
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<li class="whitespace-normal break-words pl-2">Master's or above in Computer Science, Mathematics, or a related field from a top university; <strong>8+ years of industry experience</strong> with 5+ years in core recommendation or search roles</li>
<li class="whitespace-normal break-words pl-2">Proven end-to-end ownership of production recommendation pipelines at <strong>10M+ DAU scale</strong></li>
<li class="whitespace-normal break-words pl-2"><strong>User Intent & Profiling (Core)</strong> — 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</li>
<li class="whitespace-normal break-words pl-2"><strong>Transformer & Sequential Ranking (Core)</strong> — 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</li>
<li class="whitespace-normal break-words pl-2"><strong>Multi-Task Training (Core)</strong> — 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</li>
<li class="whitespace-normal break-words pl-2"><strong>Business Attribution (Core)</strong> — Hands-on Uplift Modeling experience; proficiency in Position / Selection Bias correction and prediction probability calibration</li>
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<h2 class="heading-2 ace-line old-record-id-DiLSdqfwUoKOraxakB6uGEomsXl"><strong>Nice to Haves</strong></h2>
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<div> Familiarity with Semantic Tokenization (FSQ / RQ-VAE), conditional sequence generation, or RLHF / DPO applied to recommendation systems</div>
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<li class="ace-line ace-line old-record-id-HCHYdH260obVbcxuNtZup7OhsDd" data-list="bullet">Engineering experience with LLM Agent frameworks (Tool Use / ReAct) and designing the collaboration boundary between agent-based and traditional recommendation</li>
<li class="ace-line ace-line old-record-id-HCHYdH260obVbcxuNtZup7OhsDd" data-list="bullet">Hands-on experience with large-scale distributed training (10B+ parameter models), real-time feature pipelines (Flink / Kafka), and inference optimization under strict latency SLAs</li>
<li class="ace-line ace-line old-record-id-HCHYdH260obVbcxuNtZup7OhsDd" data-list="bullet">Experience in fintech, Web3, or crypto platforms</li>
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<h2 class="heading-2 ace-line old-record-id-doxusXHTxE1ng5NXSR8cKaY4vhf"><strong>Perks & Benefits</strong></h2>
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<li>Competitive total compensation package</li>
<li>L&D programs and Education subsidy for employees' growth and development</li>
<li>Various team building programs and company events</li>
<li>Wellness and meal allowances</li>
<li>Comprehensive healthcare schemes for employees and dependants</li>
<li>More that we love to tell you along the process!</li>
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</div><div class="content-conclusion"><div data-lark-html-role="root"><span class="text-only" data-eleid="18"><span class="text-only"><span class="text-only" data-eleid="6">Notice:<br></span></span></span>
<div data-lark-html-role="root"><span class="text-only" data-eleid="26"><span class="text-only">All official </span><span class="text-only text-with-abbreviation text-with-abbreviation-bottomline">OKX</span><span class="text-only"> vacancies are published on this website.</span></span> <span class="text-only" data-eleid="28"><span class="text-only">While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. </span></span><strong><span class="text-only" data-eleid="29"><span class="text-only">If in doubt, please apply directly through our official careers website.</span></span></strong></div>
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<div data-lark-html-role="root"><span class="text-only" data-eleid="18"><span class="text-only">Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to </span><span class="text-only text-with-abbreviation text-with-abbreviation-bottomline">OKX</span><span class="text-only">'s </span></span><a class="link rich-text-anchor __anchor-intercept-flag__ text-content-link" href="https://www.okx.com/en-eu/help/okx-candidate-privacy-notice" target="_blank" data-eleid="19" data-lark-is-custom="true" data-lark-link="true">Candidate Privacy Notice</a><span class="text-only" data-eleid="20"><span class="text-only">.</span></span></div></div>
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