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14 дней назад

Founding Research Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
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
Founding Research Engineer (AI): Studying how AI agents behave in production and setting the research agenda with an accent on agent behavior, simulations, detection, and evaluations where ground truth is unclear. Focus on designing experiments and metrics, discovering undefined issues, publishing findings, and bringing successful prototypes into the product.

Location: On-site in San Francisco, United States

Company

hirify.global is an AI monitoring platform that helps engineering teams detect silent failures in production AI agents, investigate traces, and identify root causes.

What you will do

  • Set the research agenda and run experiments on how AI agents behave in production.
  • Design evaluations and metrics for problems where ground truth is unclear.
  • Study agent failures, real-world conditions, monitoring, and safety implications.
  • Advance simulations of agents and the situations they encounter before reaching users.
  • Develop methods to detect previously undefined issues and prototype new approaches.
  • Publish findings through papers, blog posts, and talks, and bring successful methods into the product.

Requirements

  • Strong written and communication skills, with the ability to explain complex ideas clearly.
  • Deep expertise in at least one area such as interpretability, evals, AI safety, anomaly detection, or representation learning.
  • Good judgment about which experiments are worth running and when a result is real.
  • Ability to ship experiments and build prototypes.
  • Experience using and building AI agents and tools.

Nice to have

  • Experience sharing research through publications, open-source work, or public write-ups.

Culture & Benefits

  • Join an early team and help shape the company, product, research direction, and future of AI agents.
  • Help define what research looks like as the team and product grow.
  • Work on a monitoring platform used by Fortune 100 engineering teams and leading AI companies.
  • Contribute to research involving hundreds of millions of production events and custom models trained privately for each company.

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