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2 дня назад

Staff / Principal Engineer, Technical Mitigations Research (AI)

224 000 - 336 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/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

Staff / Principal Engineer, Technical Mitigations Research (AI Safety): Building and implementing a bespoke safety strategy and technical safeguards for a scientific superintelligence platform with an accent on safety systems, post-training, and risk mitigation. Focus on designing safeguards for in silico and lab-based scientific workflows and leading the development of safety-focused evaluations and monitoring systems.

Location: Cambridge, MA USA; London, UK; or San Francisco, CA USA

Salary: $224,000 - $336,000 USD

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.

What you will do

  • Define the build and research strategy for safety systems across scientific data analysis, generation pipelines, and post-training.
  • Conduct initial safeguards experimentation and buildout tailored to specific scientific needs.
  • Lead research to advance technical safeguards for both in silico and lab-based scientific workflows beyond the state of the art.
  • Collaborate with domain experts in biology, chemistry, and materials science, as well as core AI and product teams.
  • Contribute to high-quality research efforts for scientific capability evaluation and restriction.
  • Support external communications regarding the company's safety efforts.

Requirements

  • Track record of building safety systems, classifiers, or conducting post-training for frontier-class problems (science, reasoning, programming).
  • 4-6+ years of experience in ML engineering.
  • Proven experience building scalable production systems rather than just prototypes.
  • Ability to set research directions for open problems in post-training and classifier buildouts.
  • Ability to communicate complex technical concepts and concerns to non-expert audiences effectively.

Nice to have

  • Experience developing or applying ML to biological or physical sciences.
  • Experience building safeguards for scientific risks for frontier models or narrow scientific tools.
  • Demonstrated ability to lead engineering teams toward goals.

Culture & Benefits

  • Competitive compensation including bonus potential.
  • Generous early equity.
  • Opportunity to pioneer scientific superintelligence to solve global challenges in health, climate, and sustainability.
  • Commitment to equal employment opportunity regardless of background.

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