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Analytics Engineer (AI)

210 000 - 260 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Analytics Engineer (AI): Building and maintaining canonical data sources and safety metrics dashboards to enable data-driven decision-making for AI safety systems with an accent on ETL design and stakeholder collaboration. Focus on developing agent-enabled workflows, ensuring high data reliability, and translating complex safety metrics into actionable insights.

Location: Hybrid in San Francisco, CA (3 days in office per week). Relocation assistance provided.

Salary: $210,000 – $260,000 + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Design and maintain canonical datasets that serve as sources of truth for safety metrics.
  • Develop data products such as dashboards, reports, and agent-enabled workflows for independent stakeholder analysis.
  • Partner with Engineering, Research, and Data Science to design intuitive ways to consume complex safety metrics.
  • Ensure analytics and visualizations are accurate and user-friendly using UX principles.
  • Advocate for data quality, consistency, and reliability across all analytics products.

Requirements

  • 5+ years of experience in a relevant data role within dynamic organizations.
  • High proficiency in SQL and extensive experience designing ETL workflows.
  • Experience with BI tools such as Tableau and Looker to enable self-serve insights.
  • Ability to independently own ambiguous, high-impact business problems.
  • Strong communication skills for collaborating with researchers, engineers, and executives.
  • Must be based in or be able to relocate to San Francisco, CA.

Nice to have

  • Experience in trust and safety, integrity, or anti-abuse fields.
  • Familiarity with advanced custom visualizations like Streamlit and Plotly Dash.
  • Prior experience in NLP, large language models (LLMs), or generative AI.
  • Experience building data products for a broad range of stakeholders.

Culture & Benefits

  • Hybrid work model requiring 3 days in the office per week.
  • Relocation assistance available for new employees.
  • Direct involvement in advancing the safety and robustness of future AGI.
  • Inclusive culture that values a full spectrum of human perspectives and experiences.

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