Senior Technical Recruiter (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Technical Recruiter (AI/ML): Managing full-cycle recruitment for senior AI/ML and leadership roles within the US market with an accent on high-signal sourcing and candidate engagement. Focus on building pipelines via AI communities, open-source networks, and navigating complex closing strategies for senior talent.
Location: Remote (USA)
Company
AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.
What you will do
- Own full-cycle recruiting for senior AI roles from Senior/Staff to Director levels.
- Build high-signal pipelines via AI communities, referrals, and open-source networks.
- Partner with AI leadership to define hiring profiles, scorecards, and evaluation signals.
- Develop role-specific sourcing plans and iterate outreach based on response data.
- Conduct technically credible screens and guide candidates through the interview process.
- Manage offer strategy and closing, including compensation alignment.
Requirements
- 6+ years of full-cycle technical recruiting with a significant focus on AI/ML/GenAI.
- Demonstrated success hiring Senior/Staff-level AI talent.
- Strong existing network across AI engineering and research communities.
- Proficiency in advanced sourcing (Boolean, X-ray, GitHub, Hugging Face, arXiv).
- Must be based in the USA to effectively engage the US AI community.
- Experience with ATS/CRM discipline and funnel metrics.
Nice to have
- Experience in consulting or agency recruiting.
- Exposure to specialties such as RL, agents, recommender systems, or MLOps.
- Familiarity with AI-assisted sourcing and outreach workflows.
Culture & Benefits
- High ownership role directly impacting client outcomes.
- Access to a strong technical bench and AI-first company focus.
- Collaboration within a global team across different continents and cultures.
- Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards.
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