About the role
<h2 class="heading-2 ace-line old-record-id-doxusd6NtLTrM8e4ysmP03OKuHd"><strong>Who We Are</strong></h2>
<p>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.</p>
<h2 class="heading-2 ace-line old-record-id-doxusl417D129Ked7hp9WBVv9lg"><strong>About the Opportunity</strong></h2>
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<p data-start="176" data-end="486">We are seeking a highly skilled and hands-on Machine Learning Engineer specializing in <strong>large model post-training and alignment</strong>. This role focuses on designing, executing, and optimizing post-training pipelines to improve model performance, controllability, domain adaptation, and reasoning capabilities.</p>
<p data-start="488" data-end="671">You will work across the full lifecycle of post-training—from data strategy and reward modeling to reinforcement learning–based optimization and production-grade inference deployment.</p>
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<h2 class="heading-2 ace-line old-record-id-doxusI2RkaIWtuQsGjyJjA6hybg"><strong>What You’ll Be Doing </strong></h2>
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<li class="ace-line ace-line old-record-id-JLKOdU6cwoyIjbxLKZxlEttugxc" data-list="bullet">Lead and execute the full post-training pipeline for large language models (LLMs), including supervised fine-tuning, preference optimization, and reinforcement learning–based methods.</li>
<li class="ace-line ace-line old-record-id-AFvSdoB44oXpewxukzelPublgCe" data-list="bullet">Design and implement advanced training paradigms such as <strong data-start="947" data-end="987">DPO (Direct Preference Optimization)</strong> and <strong data-start="992" data-end="1041">GRPO (Generalized Reward Policy Optimization)</strong>.</li>
<li class="ace-line ace-line old-record-id-JXHrdNTcUoZBvWxvj1HlVENig3d" data-list="bullet">Develop domain-specific data recipes, curation strategies, and augmentation pipelines to optimize task performance.</li>
<li class="ace-line ace-line old-record-id-WnzhdfL28oLSntxM2KilxZrBgCg" data-list="bullet">Conduct post-training of specialized small models from scratch, including architecture selection, dataset construction, and optimization strategy.</li>
<li class="ace-line ace-line old-record-id-PKU2dkSMhoPMEuxuUiclXKKAgmg" data-list="bullet">Build and refine <strong data-start="1329" data-end="1346">Reward Models</strong> to support alignment and downstream optimization.</li>
<li class="ace-line ace-line old-record-id-PKU2dkSMhoPMEuxuUiclXKKAgmg" data-list="bullet">Design and implement <strong data-start="1420" data-end="1471">RLAIF (Reinforcement Learning from AI Feedback)</strong> closed-loop systems.</li>
<li class="ace-line ace-line old-record-id-PKU2dkSMhoPMEuxuUiclXKKAgmg" data-list="bullet">Optimize inference efficiency and deploy models using low-latency serving frameworks such as <strong data-start="1588" data-end="1596">vLLM</strong> and <strong data-start="1601" data-end="1611">SGLang</strong>.</li>
<li class="ace-line ace-line old-record-id-PKU2dkSMhoPMEuxuUiclXKKAgmg" data-list="bullet">Evaluate model performance using both automated benchmarks and human/AI feedback loops.</li>
<li class="ace-line ace-line old-record-id-PKU2dkSMhoPMEuxuUiclXKKAgmg" data-list="bullet">Collaborate with research and infrastructure teams to productionize training and deployment workflows.</li>
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<h2 class="heading-2 ace-line old-record-id-doxusA9TF9jUkqvydDVZ26era1g"><strong>What We Look For In You </strong></h2>
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<li class="ace-line ace-line old-record-id-VoBZdvOhNomtYkxWILjl8wUVgQ1" data-list="bullet">Bachelor's in Computer Science, AI, Machine Learning, or related fields with at least <strong>8 years of industry experience</strong>.</li>
<li class="ace-line ace-line old-record-id-VoBZdvOhNomtYkxWILjl8wUVgQ1" data-list="bullet">Strong hands-on experience across the full <strong data-start="1886" data-end="1912">post-training pipeline</strong> for large models.</li>
<li class="ace-line ace-line old-record-id-Q4K1dT1Ynof7ttxDIHVln7Wjg1c" data-list="bullet">Deep familiarity with preference learning and alignment techniques, including <strong data-start="2011" data-end="2066">DPO, GRPO, and RL-based post-training methodologies</strong>.</li>
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<div>Proven experience designing <strong data-start="2098" data-end="2133">domain-specific data strategies</strong> and training methodologies.</div>
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<li class="ace-line ace-line old-record-id-OIrUdcJaCo83dfx32OflI47Sgnc" data-list="bullet">Experience training and post-training <strong data-start="2202" data-end="2243">specialized small models from scratch</strong>.</li>
<li class="ace-line ace-line old-record-id-OIrUdcJaCo83dfx32OflI47Sgnc" data-list="bullet">Solid understanding of reinforcement learning fundamentals and their application to model alignment.</li>
<li data-start="2348" data-end="2471">Experience deploying models in low-latency production environments using frameworks such as <strong data-start="2442" data-end="2470">vLLM, SGLang, or similar</strong>.</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!<br><br><br><em><span class="text-only text-font-italic" data-eleid="32"><span class="text-only">Please note that Hong Kong is a group-level service hub, and </span><span class="text-only text-with-abbreviation text-with-abbreviation-bottomline">OKX</span><span class="text-only"> does not carry on a business of operating a virtual asset trading platform in Hong Kong.</span></span></em></li>
</ul><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>