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Lead Tech Recruiter (ML, LLM)
Отличная вакансия в быстрорастущей компании, работающей на острие технологий ИИ. Предлагает высокую степень автономности, работу с глобальным рынком и возможность влиять на формирование команд в одной из самых перспективных отраслей.
Сложность вакансии
Высокая сложность обусловлена необходимостью глубокого понимания узких ниш (LLM, GPU, Inference) и конкуренцией за таланты на рынке США. Роль требует не только навыков сорсинга, но и способности говорить на одном языке с ведущими инженерами и исследователями ИИ.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Lead Tech Recruiter в сфере AI на Восточном побережье США рыночные показатели значительно выше средних по HR. Ожидаемый доход включает высокую базовую часть и, как правило, опционную программу.
Сопроводительное письмо
I am writing to express my strong interest in the Lead Tech Recruiter position at Nebius. With over five years of experience in technical recruitment and a proven track record of hiring high-caliber talent in the AI/ML and distributed systems domains, I am confident in my ability to help scale your R&D hubs and attract world-class engineering talent.
In my previous roles, I have successfully built deep talent pipelines for niche positions such as LLM researchers and ML Ops engineers by leveraging advanced sourcing techniques on GitHub and specialized AI communities. I pride myself on my ability to partner closely with engineering leadership to understand complex technical requirements and translate them into effective hiring strategies.
I am particularly excited about Nebius's mission to democratize AI infrastructure. My experience in high-touch candidate engagement and market intelligence aligns perfectly with your need for a recruiter who can represent Nebius’s technical challenges and culture to senior-level experts. I look forward to the possibility of contributing to your team's growth.
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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 remotely from the USA (East Coast)
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
- Talent Acquisition Strategy
- Stakeholder Management
- LinkedIn Recruiter
- GitHub
Возможные вопросы на собеседовании
Проверка понимания специфики рынка ИИ и умения находить редких специалистов.
Расскажите о вашем опыте поиска специалистов по LLM или инфраструктуре GPU: какие нестандартные каналы сорсинга вы использовали?
Оценка способности работать с техническим руководством и влиять на процесс найма.
Как вы выстраиваете взаимодействие с Hiring Manager, если требования к вакансии кажутся нереалистичными для текущего рынка?
Проверка навыков оценки технического бэкграунда кандидатов на первичном этапе.
Как вы проверяете техническую глубину кандидата на роль ML-инженера, не имея профильного технического образования?
Оценка навыков «продажи» вакансии топовым кандидатам.
Как бы вы презентовали преимущества работы в Nebius кандидату, у которого уже есть офферы от BigTech компаний (Google, Meta, OpenAI)?
Проверка аналитических способностей и работы с данными.
Какие метрики воронки найма вы считаете наиболее критичными для оценки эффективности стратегии поиска в сфере AI/ML?
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1000+ офферов получено
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