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4 дня назад

Head of Engineering (Frontier Safety)

225 000 - 350 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
Singapore/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
Head of Engineering (Frontier Safety) (AI safety and red-teaming): Building the engineering organization, infrastructure, tools, agents, and evaluation systems that scale frontier AI testing, safeguards, and vulnerability discovery with an accent on secure sandboxing, automated red-teaming, and high-stakes AI security workflows. Focus on building and managing an engineering team, moving research from prototype to reliable deployment, and scaling technical capacity across evaluations, loss-of-control testing, products, and services.

Location: Remote globally. The role requires timezone flexibility across North America, Europe, and Asia-Pacific. US or Singapore visa sponsorship is available for in-person employees.

Salary: $225,000–$350,000/year depending on experience and location, with potential additional compensation for exceptional candidates.

Company

hirify.global is a nonprofit AI research institute focused on AI safety, frontier model testing, red-teaming, evaluations, safeguards, and research for governments and leading AI companies.

What you will do

  • Build and scale the engineering function for the Frontier Safety division, starting with a small team and expanding it over time.
  • Develop red-teaming tools, evaluation systems, vulnerability databases, statistical analysis tools, reporting infrastructure, products, services, and agents.
  • Build secure sandboxing and infrastructure for frontier AI evaluations, loss-of-control testing, CBRN and cyber evaluations, and safeguards research.
  • Design systems that support external contributions, ecosystem integrations, privacy compliance, and reduced vulnerability exposure.
  • Manage, mentor, and recruit engineers and future engineering managers while establishing high standards for velocity, rigor, judgment, and impact.
  • Translate division strategy into scalable engineering plans, remove bottlenecks, and connect engineering systems with testing, research, partnerships, and real-world impact.

Requirements

  • Strong track record in software engineering, AI, or another computer engineering discipline such as cybersecurity or MLOps.
  • Strong experience managing, growing, and leading technical teams, including building startups from 0 to 1 and managing managers in scale-ups.
  • Experience with parts of the stack, including coding agents, Python, LLM APIs, local LLM frameworks, evaluation frameworks, LLM agents, cloud infrastructure, compute clusters, Kubernetes, or Slurm; full-stack coverage is not required.
  • Experience thriving in rapidly evolving environments and navigating shifting threat models and defenses.
  • Demonstrated mission and impact orientation, with a desire to affect the safety and deployment of frontier AI systems.
  • Ability to communicate technical solutions effectively to technical and non-technical audiences.
  • Demonstrated relentlessness in achieving ambitious goals.
  • Full-time availability: 40 hours per week.

Nice to have

  • Experience building, red-teaming, or evaluating frontier LLMs or agentic systems, or building safeguards for them.
  • Experience building technical teams and products in an entrepreneurial environment.
  • Ability to discover non-obvious, high-severity vulnerabilities in complex systems.
  • Experience in adversarial ML, security, collaboration with AI labs, security teams, or government safety institutes.
  • Published work in AI safety, security, or robustness.

Culture & Benefits

  • Mission-driven, high-impact work measured by real-world impact rather than revenue, clicks, or publication volume.
  • Fast-moving, ambiguous environment with substantial ownership and collaborative technical direction.
  • Employment through hirify.global in the US, FAR.Singapore in Singapore, or an Employer of Record elsewhere.
  • Work-related travel and equipment expenses are covered.
  • Catered lunch and dinner are available at the Berkeley offices.

Hiring process

  • Submit a CV and answers about interest in the role through the application form; do not email a resume separately.
  • Selection includes a screening call, work tests, interviews, and a paid work trial.
  • An alternative assessment may be available for candidates unable to participate in a work trial.

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