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5 часов назад

Technical Recruiter (AI)

180 000 - 220 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Technical Recruiter (AI): Owning full-cycle recruiting for engineering and research roles across AI, infrastructure, and deep-tech domains with an accent on technical sourcing, calibrated hiring, and candidate experience. Focus on building hard-to-fill talent pipelines, assessing technical depth, closing senior candidates, and improving recruiting operations with AI tools and funnel data.

Location: San Mateo, United States

Salary: $180K–$220K per year, plus equity

Company

hirify.global provides a platform for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.

What you will do

  • Own full-cycle recruiting for technical roles, including sourcing, screening, offer management, and closing.
  • Partner with founders, engineering leaders, and hiring managers to scope roles, define hiring standards, and build recruiting strategies.
  • Build and maintain pipelines of senior technical talent through proactive outreach and referrals.
  • Run structured, bias-aware screens and deliver a high-quality candidate experience.
  • Use market and compensation data to support offers and improve close rates.
  • Maintain ATS data, report on funnel health, and use AI tools to improve sourcing and screening efficiency.

Requirements

  • 5+ years of full-cycle technical recruiting experience, preferably in a high-growth startup or AI/ML, infrastructure, or deep-tech environment.
  • Demonstrated success closing senior and hard-to-fill engineering or research roles.
  • Strong technical fluency across engineering roles and technology stacks.
  • Experience with AI-powered sourcing and screening tools and Ashby.
  • Excellent communication, relationship-building, and candidate-experience skills.
  • Comfort working in an ambiguous, fast-changing, high-bar environment.

Nice to have

  • Familiarity with the open-source AI ecosystem, including PyTorch, model serving, and inference.
  • Experience building recruiting processes or employer-brand programs at an early-stage company.

Culture & Benefits

  • Work on AI infrastructure challenges including low-latency inference and scalable model serving.
  • Collaborate with engineers and AI researchers on emerging technology.
  • High-ownership environment with direct impact and minimal bureaucracy.
  • Equity is included in the compensation package.
  • Inclusive, equal-opportunity workplace committed to diversity.

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