Назад
2 дня назад

Researcher (AI)

380 000 - 500 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Researcher (AI): Developing scalable training methods, evaluations, and reinforcement learning environments that improve frontier models' ability to understand human values and support long-term goals with an accent on difficult-to-verify outcomes, human feedback, and generalization. Focus on leading ambiguous research from problem definition through experiments and deployment, building 0→1 capabilities in education and mental health, and measuring AI's effects on human flourishing at billion-user scale.

Location: San Francisco, United States

Salary: $380K–$500K annually, plus equity, performance-related bonuses for eligible employees, and benefits.

Company

OpenAI is an AI research and deployment company developing general-purpose AI intended to benefit humanity.

What you will do

  • Develop scalable training methods across pretraining, reinforcement learning, and post-training to improve models' understanding of human values, support for user agency, and ability to help with long-term goals.
  • Lead research from open questions through success criteria, experiments, and integration into frontier models and shipped products.
  • Build reinforcement learning environments and evaluations for difficult-to-verify outcomes, including assessments grounded in human expertise and feedback.
  • Study whether model-behavior measures predict learning, wellbeing, and other long-term outcomes, and use the findings to guide training.
  • Build new 0→1 capabilities in human domains such as education and mental health and assess their impact on human flourishing at a scale of over one billion users.
  • Partner with product, engineering, partnerships, and domain experts to deploy methods, measure real-world effects, and improve models.

Requirements

  • Strong research record in pretraining or reinforcement learning/post-training, particularly in a hard-to-verify area, or strong LLM research skills combined with deep expertise in education, mental health, or a related human-benefit field.
  • Hands-on ability to turn ideas into rigorous experiments, write and debug code, and work directly with data and training infrastructure.
  • Ability to select consequential problems and actionable steps, including for ambiguous or unglamorous work.
  • Ability to assess whether capabilities will scale, generalize, and reach real-world use beyond papers or prototypes.
  • Ability to work across disciplines and identify the main bottlenecks to scaling impact in a multidisciplinary problem.
  • Deep commitment to improving people's lives through increasingly capable AI.

Culture & Benefits

  • Full-time, at-will employment with work based in San Francisco.
  • Medical, dental, and vision insurance for employees and families, with employer HSA contributions, plus FSA and dependent-care accounts.
  • 401(k) plan with employer match, paid parental and medical/caregiver leave, paid time off, paid holidays, office closures, and sick or safe time.
  • Mental health support, life and disability coverage, and an annual learning and development stipend.
  • Daily office meals, eligible meal-delivery credits, relocation support for eligible employees, and additional taxable benefits such as donation matching and wellness stipends.

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