
Senior Tech Recruiter (ML,LLM) at Nebius
London, United Kingdom; Remote - United StatesFull-timeRemoteHRPosted 15 days ago
About the Role
<div class="content-intro"><p><strong>About Nebius:</strong></p>
<p>Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p>
<p>Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.</p>
<p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.</p></div><div class="p-rich_text_section">Nebius is looking for a <strong data-stringify-type="bold">Senior/Lead Technical Recruiter</strong> - <strong data-stringify-type="bold">AI/LLM & Infrastructure </strong>to strengthen our Tech Talent Acquisition team and help us attract world-class engineering talent. This role will focus on hiring experts in <strong data-stringify-type="bold">LLM, Inference optimization, large-scale distributed systems, and high-performance infrastructure</strong> - including Backend, ML Platform, ML Ops, and GPU engineering.</div>
<div class="p-rich_text_section"><br>You will play a key role in scaling our AI and R&D teams by building deep, high-quality talent pipelines and partnering closely with our engineering leadership.</div>
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<div class="p-rich_text_section">This role will be based from the USA (East Coast) Remotely.</div>
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<div class="p-rich_text_section"><strong data-stringify-type="bold">What you will do:</strong></div>
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<div class="p-rich_text_section"><strong data-stringify-type="bold">Deep Technical Sourcing (LLM, Inference, Systems, GPU):</strong></div>
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<div class="p-rich_text_section">Proactively identify and engage senior-level engineers and researchers across a wide range of AI/ML and systems domains.Use advanced sourcing methods across LinkedIn and GitHub engineering communities, open-source projects, conferences, and expert networks.</div>
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<div class="p-rich_text_section"><strong data-stringify-type="bold">Pipeline Development:</strong></div>
<div class="p-rich_text_section">Build and maintain long-term pipelines of senior engineers for current and future strategic roles. Provide hiring teams with regular funnel analytics, insights, and forecasts.</div>
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<div class="p-rich_text_section"><strong data-stringify-type="bold">High-Touch Candidate Engagement:</strong></div>
<div class="p-rich_text_section">Craft tailored communication for senior and niche candidates. Build trust, communicate value, and represent Nebius’s mission, technical challenges, and engineering culture.</div>
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<div class="p-rich_text_section"><strong data-stringify-type="bold">Technical Screening:</strong></div>
<div class="p-rich_text_section">Conduct initial calls to evaluate technical depth, hands-on experience with modern AI and systems technologies, and overall fit.</div>
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<div class="p-rich_text_section"><strong data-stringify-type="bold">Close Partnership with Engineering Leadership:</strong><br>Work directly with engineering and research managers to understand role requirements in detail and shape effective hiring strategies.</div>
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<div class="p-rich_text_section"><strong data-stringify-type="bold">Market Intelligence:</strong><br>Monitor global trends in LLM research, AI infrastructure, inference efficiency, model deployment, and GPU availability. Identify the strongest companies and labs for targeted sourcing.</div>
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<div class="p-rich_text_section"><strong data-stringify-type="bold">We expect you to bring</strong></div>
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<li data-stringify-indent="0" data-stringify-border="0">5+ years of experience in technical recruitment, with a strong focus on senior-level hiring.</li>
<li data-stringify-indent="0" data-stringify-border="0">Proven track record hiring in AI/ML, LLMs, Inference, distributed systems, HPC, infrastructure, GPU engineering, or related areas.</li>
<li data-stringify-indent="0" data-stringify-border="0">Strong sourcing expertise and deep understanding of modern engineering roles, tech stacks, and motivations of senior candidates.</li>
<li data-stringify-indent="0" data-stringify-border="0">Ability to operate autonomously in a fast-moving environment, balancing multiple complex searches.</li>
<li data-stringify-indent="0" data-stringify-border="0">Excellent communication, stakeholder management, and analytical skills.</li>
<li data-stringify-indent="0" data-stringify-border="0">Curiosity, creativity, and the ability to translate complex technical requirements into effective sourcing strategies.</li>
</ul><div class="content-conclusion"><p><strong>Benefits & Perks:</strong></p>
<ul>
<li>Competitive compensation</li>
<li>Career growth and learning opportunities</li>
<li>Flexibility and work-life balance</li>
<li>Collaborative and innovative culture</li>
<li>Opportunity to work on impactful AI projects</li>
<li>International environment and talented teams</li>
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<p><strong>What's it like to work at Nebius:</strong></p>
<p>Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI </p>
<p><strong>Equal Opportunity Statement:</strong></p>
<p>Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.</p>
<p>Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. </p>
<p>If you need accommodations during the application process, please let us know.</p></div>
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