Мэтч & Сопровод
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Описание вакансии
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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