Frontier Agent: Computer-Use Research Engineer

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

Job summary

OpenAI is seeking a technically strong professional to teach models to operate computers and navigate both browsers and desktops. You will collaborate with researchers, engineers, and product teams to shape how models interact with tools, data, and environments.

This role emphasizes experimentation, evaluation, and responsible model behavior. The position sits at the intersection of frontier model training, product behavior, and systems engineering, with direct impact on the next generation of

Qualifications

• Strong technical fundamentals in ML, software engineering, systems, statistics, or related fields.
• Hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems.

Responsibilities

• Design and run experiments to improve agentic model behavior for desktop and browser use.
• Own end-to-end improvements to the post-training stack: RL, data pipelines, graders, reward signals, evals, diagnostics, and analysis.
• Build evals and environments to reveal next model failures and turn them into training data or product fixes.
• Partner with Codex and ChatGPT product teams to translate user needs into model improvements.
• Contribute to data mixtures, objectives, synthetic data, and eval loops shaping downstream agent behavior.
• Help decide which integrations and fixes are ready for major model runs.

Skills

ML fundamentals

Systems engineering

Software engineering

RL basics

Cross-functional collaboration

Tools

Codex

ChatGPT

Job description

OpenAI is seeking a technically strong professional to teach models to operate computers and navigate both browsers and desktops. You will collaborate with researchers, engineers, and product teams to shape how models interact with tools, data, and environments.

This role emphasizes experimentation, evaluation, and responsible model behavior. The position sits at the intersection of frontier model training, product behavior, and systems engineering, with direct impact on the next generation of