Топовая AI-лаборатория, работа над передовой инфраструктурой и зарплата, которая значительно обходит рыночные показатели, делают это предложение эталоном на рынке.
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Очень высокая зарплатаТрендовый доменПередовой стекПонятный скоупВысокий импактСтартап-атмосфера
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Research Infrastructure (AI): Designing and scaling infrastructure and systems that support rapidly increasing usage of research tooling with an accent on distributed systems, reliability, scalability, and evolving workloads. Focus on independently leading complex multi-month projects, making architectural decisions, and partnering with researchers to build infrastructure for changing machine learning workflows.
Location: San Francisco, CA or New York City, NY; hybrid policy requires staff to work from an office at least 25% of the time
Annual salary: $405,000–$625,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
Design, build, and scale infrastructure and systems supporting rapidly increasing research usage and evolving workloads.
Scope and lead complex, ambiguous, multi-month engineering projects from initial concept through production.
Drive technical alignment across multiple teams and stakeholders.
Make architectural decisions shaping research infrastructure and tooling.
Partner with researchers to understand workflows and anticipate changing requirements.
Own reliability and scalability, establish technical standards, and mentor engineers.
Requirements
Experience designing, building, and operating large-scale distributed systems or production infrastructure.
Track record of independently delivering complex, ambiguous, multi-month technical projects.
Strong software engineering fundamentals and hands-on coding ability.
Experience making architectural decisions adopted by other engineers and teams.
Strong written and verbal communication skills, including cross-team alignment.
Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Nice to have
Experience building infrastructure or platforms for research or machine learning workflows.
Experience with distributed systems, cloud infrastructure, and infrastructure-as-code.
Familiarity with compute, tooling, and workflow needs of large-scale machine learning research.
Startup or startup-like experience, or prior technical leadership and mentoring experience.
Culture & Benefits
Collaborative research environment focused on large-scale AI research and long-term impact.
Flexible working hours and an office environment for collaboration.
Competitive compensation and benefits.
Generous vacation and parental leave.
Optional equity donation matching.
Visa sponsorship is available, with immigration lawyer support, although sponsorship cannot be guaranteed for every role or candidate.
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