Назад
1 день назад

Research Engineer, Takeoff Intel

350 000 - 850 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior/senior
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
Research Engineer, Takeoff Intel (AI evaluations): Building and running large-scale capability evaluations, measurement instruments, and data pipelines that turn model outputs and telemetry into reliable metrics with an accent on rapid prototyping, measurement accuracy, and AI-assisted research. Focus on designing LLM evaluation infrastructure, processing large volumes of data, validating experimental instruments, and translating research questions into actionable safety and situational-awareness measurements.

Location: Remote-friendly, San Francisco, United States; staff are expected to work from one of Anthropic's offices at least 25% of the time, with travel required.

Annual salary: $350,000–$850,000 USD

Company

Anthropic develops reliable, interpretable, and steerable AI systems focused on safety and societal benefit.

What you will do

  • Design, build, and run capability evaluations and measurement instruments at scale.
  • Develop data and analysis pipelines that convert model outputs and telemetry into reliable metrics.
  • Prototype, validate, and refine new research instruments quickly.
  • Review and supervise AI-written code as part of the engineering workflow.
  • Collaborate with research scientists and partner teams to define meaningful measurements.
  • Contribute to internal research write-ups and public reporting.

Requirements

  • Bachelor's degree or an equivalent combination of education, training, and experience in a relevant field.
  • Experience shipping an evaluation, data product, or research library end to end.
  • Experience running experiments on large language models.
  • Ability to prototype quickly, work with messy large-volume data, and operate from ambiguous research questions.
  • Clear communication and close collaboration with research teams.
  • Availability to work from an Anthropic office at least 25% of the time and travel as required.

Nice to have

  • Experience building LLM evaluation harnesses or benchmark infrastructure.
  • Large-scale ML or data infrastructure experience.
  • Experience building tools or libraries used by other researchers.
  • Experience identifying errors in AI-written code.

Culture & Benefits

  • Collaborative research environment focused on high-impact AI safety and empirical science.
  • Frequent research discussions and close collaboration across research, policy, economics, pretraining, and reinforcement learning teams.
  • Flexible working hours and a collaborative office environment.
  • Competitive compensation, equity donation matching, generous vacation, and parental leave.
  • Visa sponsorship is available, subject to role and candidate eligibility.

Hiring process

  • Applications are evaluated with consideration for equivalent education, training, and experience.
  • Candidates may use AI in the application process according to Anthropic's candidate AI usage guidance.

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