Назад
23 часа назад

Engineering Manager (AI Safety)

445 000 - 510 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
Engineering Manager (AI Safety): Leading the development of production services, detection pipelines, and mitigation mechanisms that detect and prevent harmful misuse of frontier AI models with an accent on distributed systems, data pipelines, reliability, and operational scale. Focus on setting the technical roadmap, partnering with Research and Product, measuring risk reduction, and anticipating failures in increasingly capable agentic workflows.

Location: San Francisco, CA, United States; hybrid work model with 3 days in the office per week. Relocation assistance is offered to new employees.

Base salary: $445,000–$510,000 annually for L6, plus equity, eligible performance bonuses, and benefits.

Company

OpenAI is an AI research and deployment company building general-purpose artificial intelligence systems with a focus on safe deployment.

What you will do

  • Lead software engineers building detection and mitigation systems for harmful frontier model use.
  • Set the technical roadmap and execution strategy, including prioritization, system design, delivery, iteration, and impact measurement.
  • Build production services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage.
  • Partner with Research and Product to translate evolving model capabilities into tests, signals, and deployable mitigations.
  • Drive architecture, reliability, monitoring, performance, and operational excellence.
  • Hire and develop teams across backend, data systems, and applied ML engineering, while anticipating scale-related failures in agentic workflows.

Requirements

  • Significant experience leading engineering teams and delivering production systems end-to-end.
  • Strong technical judgment in system design, distributed systems, data pipelines, observability, and operational reliability.
  • Demonstrated ability to partner with Research, Product, and Security to ship systems that materially reduce risk or abuse at scale.
  • Experience building systems in adversarial, fast-evolving environments.
  • Ability to operate in high-context environments and remain comfortable with ambiguity and novelty.
  • Clear communication and the ability to build trust quickly with senior stakeholders; a pragmatic, collaborative, and calm approach under scrutiny.

Nice to have

  • Background in autonomy, high-scale real-time systems, or intelligence-adjacent technical domains.

Culture & Benefits

  • Hybrid work model with three office days per week in San Francisco.
  • Medical, dental, and vision insurance, including employer contributions to Health Savings Accounts.
  • 401(k) plan with employer match, flexible or accrued paid time off, paid holidays, parental, medical, caregiver, sick, and safe leave.
  • Mental health and wellness support, life and disability coverage, and commuter benefits.
  • Annual learning and development stipend, office meals, eligible meal delivery credits, and relocation support.

Hiring process

  • More details about benefits are provided during the hiring process.
  • Background checks are administered in accordance with applicable law for US-based candidates.

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