Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$290к-450к/год
$190к$210кмедиана$260к
По похожим ролям (49) ~ $210к/год
На СНГ рынке: $5.7к/мес ($5.3к - $7.1к)
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Крутая вакансия
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Здесь высокая зарплата, понятная зона ответственности и возможность влиять на развитие безопасности ИИ; главный компромисс - длительный и трудоёмкий отбор.
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Трудоёмкий отборЗарплата выше рынкаБезопасность ИИСвоя исследовательская программа
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Lead (AI Safety): Developing and leading empirically grounded research agendas that reduce catastrophic risks from advanced AI, with an accent on scalable machine learning safety, adversarial robustness, interpretability, oversight, and evaluations. Focus on building research teams, defining theories of change, leading experiments, and translating findings into adoption by AI companies and governments.
Location: Remote in most countries or in person in Berkeley, California or Singapore.
Salary: $290,000–$450,000 annually, adjusted for location and experience.
Company
hirify.global is a nonprofit AI research institute focused on reducing risks from advanced AI and supporting the development of safe and beneficial AI systems.
What you will do
Define and own a research agenda addressing catastrophic risks from human-level or superhuman AI systems.
Build and lead a technical research team, directly or with an engineering co-lead.
Lead novel research projects involving unclear progress or success criteria.
Develop experiments and prototypes in areas such as adversarial robustness, interpretability, scalable oversight, red-teaming, and AI evaluations.
Communicate findings through publications, presentations, policymaker briefings, and collaborations with AI companies and governments.
Build a research field through grantmaking, events, independent testing, and government advising.
Requirements
Strong existing research track record in AI or another highly technical field such as computer science, mathematics, or physics.
A clear research agenda with a theory of change, or a strong track record and research area that can be developed into an agenda.
Experience leading teams, mentoring graduate students, or supporting early-career researchers.
Ability to communicate novel methods and solutions to technical and non-technical audiences.
Substantive prior engagement with AI safety through research, employment, or sustained independent contribution.
Availability for full-time work, 40 hours per week.
Nice to have
Established publication record in AI safety.
Experience writing grant proposals and collaborating with external research organizations.
Culture & Benefits
High autonomy in a mission-driven research environment focused on real-world impact.
Access to sizable compute budgets on a managed cluster.
Health insurance with 94% of the premium paid for eligible US employees.
401(k) plan with up to a 2% match, paid time off, and paid sick, bereavement, family, medical, and pregnancy disability leave.
Work computer, work-from-home stipend, and reimbursement for work-related travel and equipment.
Catered lunches and dinners at the Berkeley office on workdays.
Hiring process
Application and asynchronous portfolio review followed by a 60-minute fit call.
Research deep-day with a presentation and two interview sessions, followed by a five-day paid work trial.
Structured reference calls and a final decision panel; the process typically takes 4–6 weeks.
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