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1 день назад

Protection Scientist Engineer (AI)

198 000 - 425 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Protection Scientist Engineer (AI): Designing and building systems to proactively identify and enforce abuse on hirify.global’s products with an accent on monitoring new and existing products, prototyping defenses against high-risk harms. Focus on investigating critical escalations, automating monitoring subtasks, and scaling detection and enforcement systems.

US only: San Francisco, New York City, Washington, DC offices or remote within US. Includes on-call rotation for urgent escalations.

$198K – $425K + equity

Company

AI research and deployment company dedicated to ensuring general-purpose AI benefits humanity through safe product deployment.

What you will do

  • Scope and implement abuse monitoring for new product launches.
  • Improve and automate processes for sustaining monitoring on existing products.
  • Prototype and productionize detection, review, and enforcement systems for major harms.
  • Collaborate with Product, Policy, Ops, Investigative, and Engineering teams on risks, data, and tooling.
  • Investigate critical escalations not caught by existing safety systems.

Requirements

  • At least 4 years experience in technical analysis and detection using SQL and Python.
  • Experience in trust and safety, working with policy, enforcement, and engineering teams; investigative mindset.
  • Basic data engineering (building tables, data pipelines), machine learning principles, and production code.
  • Experience scaling and automating processes, especially with language models.
  • Comfort with sensitive content including sexual, violent, or disturbing material.

Culture & Benefits

  • Equal opportunity employer committed to diversity and inclusion.
  • Background checks with consideration for qualified applicants under fair chance laws.
  • Equity offered as part of compensation.
  • Cross-functional collaboration in a mission-driven environment focused on safe AI deployment.

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