Назад
5 дней назад

Context Researcher (AI)

295 000 - 445 000$
Формат работы
onsite
Тип работы
fulltime
Английский
c1
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

Context Researcher (AI): Scaling compute spent on context for frontier agents with an accent on post-training stacks and RLHF. Focus on designing experiments to improve scaling, building evaluation environments, and iterating on model behavior to enable proactive intelligence.

Location: Onsite in San Francisco, USA

Salary: $295K – $445K

Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Design and run experiments to improve the scaling of compute on context for frontier models.
  • Own end-to-end improvements to the post-training stack, including RL, data pipelines, reward signals, and diagnostics.
  • Build evaluations and environments to expose model failures and translate them into training data or research directions.
  • Collaborate with Codex and ChatGPT product teams to translate user signals into concrete model improvements.
  • Develop early-training and alignment interventions, including synthetic data and eval loops that shape agent behavior.
  • Debug complex failures in shipped models to formulate hypotheses and execute fixes.

Requirements

  • Strong technical fundamentals in machine learning, software engineering, systems, or statistics.
  • Hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, and synthetic data.
  • Experience building evals, graders, or production ML systems.
  • Ability to translate vague behavioral problems into concrete experiments and pipelines.
  • Strong communication skills to collaborate across research, product, infrastructure, and safety boundaries.
  • Must be authorized to work in the US (subject to background checks per SF and CA ordinances).

Culture & Benefits

  • High-agency environment where work lands directly in frontier models used by millions.
  • Opportunity to define the capabilities of the next generation of proactive AI agents.
  • Commitment to safety and human needs as a core part of AI development.
  • Inclusive work culture that values diverse perspectives and experiences.

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