Назад
7 дней назад

Head of AI Safety

Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
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
Head of AI Safety (AI/Agentic Systems): Building Cognition's safety function for Devin, an autonomous AI software engineer, with an accent on evaluation, red-teaming, deployment policy, and model alignment. Focus on measuring and mitigating unsafe agent actions, prompt injection, data exfiltration, sandbox escape, reward hacking, and misuse while building the safety team.

Location: San Francisco, United States; work arrangement: on-site

Company

Windsurf develops Devin, an autonomous AI software engineer that writes and runs code, uses tools, takes actions in customer systems, and operates for extended periods without human intervention.

What you will do

  • Set the end-to-end safety strategy for Devin and the models behind it, owning safety outcomes.
  • Design evaluation and red-teaming programs for agentic risks, including unsafe actions, prompt injection, data exfiltration, sandbox escape, reward hacking, and misuse.
  • Integrate safety into pre-training, post-training, inference, and the agent harness in partnership with researchers and engineers.
  • Define deployment policies, permissions, oversight mechanisms, and acceptable agent behavior for enterprise use.
  • Build and lead the safety research and engineering team.
  • Represent the safety work with customers, policymakers, and the research community.

Requirements

  • Hands-on safety, alignment, evaluation, or red-teaming experience at a frontier AI lab, with work shipped to real models or products.
  • Strong understanding of agentic-system failures, including tool misuse, specification gaming, long-horizon drift, and adversarial inputs.
  • Credible record of published or widely used safety research, evaluations, or methods.
  • Technical fluency in Python and model training and inference stacks.
  • Experience starting or scaling a safety function and shipping practical mitigations.
  • Ability to make deployment-risk decisions under uncertainty and communicate them to engineers, executives, and customers.

Nice to have

  • Advanced degree in Computer Science, Machine Learning, or a related field.

Culture & Benefits

  • Work with a talent-dense team including competitive programmers, former founders, and leaders from leading AI and technology companies.
  • Safety work ships to millions of developers rather than remaining limited to research papers.
  • Equal opportunity employer committed to reasonable accommodations throughout the hiring process.

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