5 часов назад
Technical Recruiter (AI)
180 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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