Context Researcher — Frontier Agent Training & Scaling

OpenAI; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

OpenAI is seeking a Context Researcher for Agent Post-Training to scale compute on context and advance the next paradigm of model training. You will work with researchers, engineers, product teams, and safety partners to determine what goes into major model runs and ship improvements directly to products used by real users.

You will design experiments, own end-to-end post-training improvements, and help translate product signals into model enhancements.

Qualifications

• Strong technical fundamentals in ML, software engineering, systems, or statistics.
• Hands-on experience with LLMs, RL, RLHF/RLAIF, and post-training.
• Experience with data pipelines, evaluative loops, and model deployment.

Responsibilities

• Design and run experiments that improve scaling of compute on context.
• Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis.
• Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions.
• Partner with Codex and ChatGPT product teams to understand what users need and translate product signal into model improvements.
• Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.
• Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs.
• Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.
• Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.
• Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes.

Skills

ML fundamentals

Software engineering

Systems

Statistics

LLMs

RL

RLHF/RLAIF

Post-training

Model training

Tool-using agents

Job description

OpenAI is seeking a Context Researcher for Agent Post-Training to scale compute on context and advance the next paradigm of model training. You will work with researchers, engineers, product teams, and safety partners to determine what goes into major model runs and ship improvements directly to products used by real users.

You will design experiments, own end-to-end post-training improvements, and help translate product signals into model enhancements.