2 месяца назад
Head of Engineering, Platform (AI)
300 000 - 450 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Engineering, Platform (AI) (ML infrastructure and interpretability): Building scalable, product-grade platform tools for model interpretability, frontier-scale training, and inference with an accent on distributed systems, ML infrastructure, and research-to-product execution. Focus on recruiting and retaining elite machine learning engineers, scaling engineering teams, and driving platform adoption with customers and design partners.
Location: San Francisco HQ; in person 5 days a week, with one company-wide remote week per month
Salary: $300,000–$450,000 USD per year, commensurate with experience
Company
is a San Francisco-based public benefit research company developing interpretable, safe, and powerful AI systems.
What you will do
- Lead technical execution and convert state-of-the-art AI research into scalable, product-grade tools.
- Oversee infrastructure for model interpretability, large-scale training, and inference at frontier scale.
- Recruit, hire, develop, and retain machine learning engineers from leading AI research organizations.
- Build a high-performance engineering culture and execute a strategy to attract top technical talent.
- Drive adoption of the core platform and collaborate directly with customers and go-to-market teams.
- Shape engineering culture and take end-to-end ownership of critical platform outcomes.
Requirements
- 10+ years of engineering experience and 5+ years in engineering leadership roles.
- Experience building and scaling engineering teams at high-growth startups or frontier AI labs.
- Exceptional success recruiting machine learning engineers from top AI organizations and a strong AI/ML community network.
- Deep expertise in ML infrastructure, distributed systems, and large-scale model training.
- Hands-on proficiency with PyTorch or JAX, modern ML tooling, and inference engines.
- Passion for AI safety, interpretability, and building systems that earn human trust.
Nice to have
- Experience at a frontier AI lab or leading AI research organization.
- Experience shipping ML products to enterprise or research customers.
- Background in interpretability, alignment, or AI safety research.
- Public presence in the AI community through publications, open-source contributions, or speaking.
Culture & Benefits
- Mission-driven environment focused on AI interpretability and safety.
- High-ownership, high-intensity culture centered on initiative and rapid action.
- Market-competitive salary, equity, and competitive benefits.
- One company-wide remote week per month.
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