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Senior Tech Recruiter (ML,LLM)
Nebius — быстрорастущая компания в самом востребованном секторе (AI/Cloud), предлагающая работу с передовыми технологиями. Позиция предполагает высокую степень влияния на рост компании и работу в международной среде.
Сложность вакансии
Роль требует глубокого понимания специфики ML/LLM и инфраструктурного инжиниринга, а также умения работать на высококонкурентном рынке США и Европы. Высокая планка ожиданий к качеству пайплайна и автономности рекрутера.
Анализ зарплаты
Зарплата в вакансии не указана, но для Senior Tech Recruiter в США (East Coast) и Великобритании в сфере AI/ML рыночные вилки значительно выше средних по HR. Ожидается конкурентный пакет, включающий бонусы или опционы, учитывая статус компании на Nasdaq.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Technical Recruiter position at Nebius. With over five years of experience in technical talent acquisition and a deep focus on high-performance computing and AI infrastructure, I have successfully built engineering teams that tackle complex challenges in distributed systems and machine learning. My background aligns perfectly with Nebius's mission to scale world-class R&D hubs and optimize AI cloud solutions.
In my previous roles, I have developed a robust methodology for sourcing niche talent in the LLM and ML Ops space, utilizing platforms like GitHub and specialized research communities to engage passive candidates. I pride myself on my ability to partner closely with engineering leadership to refine hiring strategies and provide data-driven insights into the talent market. I am eager to bring my expertise in technical screening and high-touch candidate engagement to Nebius to help accelerate your growth in the global AI economy.
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Описание вакансии
Why work at NebiusNebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we workHeadquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
Nebius is looking for a Senior/Lead Technical Recruiter - AI/LLM & Infrastructureto strengthen our Tech Talent Acquisition team and help us attract world-class engineering talent. This role will focus on hiring experts in LLM, Inference optimization, large-scale distributed systems, and high-performance infrastructure - including Backend, ML Platform, ML Ops, and GPU engineering.
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.
This role will be based from the USA (East Coast) Remotely.
What you will do:
Deep Technical Sourcing (LLM, Inference, Systems, GPU):
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.
Pipeline Development:
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.
High-Touch Candidate Engagement:
Craft tailored communication for senior and niche candidates. Build trust, communicate value, and represent Nebius’s mission, technical challenges, and engineering culture.
Technical Screening:
Conduct initial calls to evaluate technical depth, hands-on experience with modern AI and systems technologies, and overall fit.
Close Partnership with Engineering Leadership:
Work directly with engineering and research managers to understand role requirements in detail and shape effective hiring strategies.
Market Intelligence:
Monitor global trends in LLM research, AI infrastructure, inference efficiency, model deployment, and GPU availability. Identify the strongest companies and labs for targeted sourcing.
We expect you to bring
- 5+ years of experience in technical recruitment, with a strong focus on senior-level hiring.
- Proven track record hiring in AI/ML, LLMs, Inference, distributed systems, HPC, infrastructure, GPU engineering, or related areas.
- Strong sourcing expertise and deep understanding of modern engineering roles, tech stacks, and motivations of senior candidates.
- Ability to operate autonomously in a fast-moving environment, balancing multiple complex searches.
- Excellent communication, stakeholder management, and analytical skills.
- Curiosity, creativity, and the ability to translate complex technical requirements into effective sourcing strategies.
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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Навыки
- Technical Recruiting
- Sourcing
- Machine Learning
- Large Language Models
- Distributed Systems
- GPU Computing
- MLOps
- Stakeholder Management
- Talent Acquisition
- LinkedIn Recruiter
- GitHub
Возможные вопросы на собеседовании
Проверка понимания технического стека и специфики ролей, которые предстоит закрывать.
Как бы вы объяснили разницу между ML Ops инженером и инженером по оптимизации инференса (Inference Optimization) при поиске кандидатов?
Оценка навыков сорсинга в узких нишах.
Опишите ваш подход к поиску исследователей LLM, которые не активны на LinkedIn. Какие альтернативные площадки и методы вы используете?
Проверка умения работать с нанимающими менеджерами.
Расскажите о случае, когда требования нанимающего менеджера были оторваны от реальности рынка. Как вы выстраивали коммуникацию и меняли стратегию поиска?
Оценка навыков «продажи» вакансии топовым кандидатам.
Как вы будете позиционировать Nebius перед кандидатом из BigTech (например, NVIDIA или OpenAI), чтобы заинтересовать его переходом?
Проверка аналитических способностей.
Какие метрики воронки найма вы считаете наиболее критичными для оценки эффективности поиска на позиции Senior/Lead уровня?
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