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3 дня назад

Engineering Manager (AI)

293 000 - 385 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
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

Engineering Manager (AI): Leading a team to build software systems that detect and prevent harmful misuse of frontier AI models with an accent on model IP protection, distillation detection, and emerging risk surfaces. Focus on designing scalable production services, pipelines, and mitigation mechanisms to protect frontier model integrity at billions of users scale.

Location: Must be based in San Francisco

Salary: $293,000 – $385,000 + 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

  • Lead a team of software engineers building detection and mitigation systems for frontier model misuse.
  • Set the technical roadmap and execution strategy for production services and detection pipelines.
  • Partner with Research and Product teams to translate model capabilities into deployable tests and signals.
  • Drive engineering fundamentals including architecture, reliability, monitoring, and operational excellence.
  • Hire and grow an exceptional team across backend, data systems, and applied ML domains.
  • Anticipate and mitigate risks as agentic workflows become more capable.

Requirements

  • Significant experience leading engineering teams and delivering production systems end-to-end.
  • Strong technical judgment in system design, distributed systems, data pipelines, and observability.
  • Demonstrated ability to partner cross-functionally to ship systems that reduce risk at scale.
  • Experience building systems in adversarial or fast-evolving environments.
  • Must be based in San Francisco.

Nice to have

  • Familiarity with model extraction, distillation, or adversarial evaluation.
  • Background in autonomy, high-scale real-time systems, or intelligence-adjacent domains.
  • Experience in security-adjacent fields like abuse prevention, fraud, or platform defense.

Culture & Benefits

  • Opportunity to work on cutting-edge AI safety and security challenges.
  • Collaborative environment working alongside world-class researchers and engineers.
  • Commitment to diversity, equity, and inclusion.
  • Competitive compensation package including equity.

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