Agent Post-Training, Frontier Evals and Environments Research

About the Position

Agent Post-Training, Frontier Evals and Environments Research

San Francisco

About the Team

The Agent Post-Training team creates the frontier agents that power our products like Codex, ChatGPT, and the API. We define the next generation of agents, build the training signal that teaches them, and run experiments to make them a reality. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste.

Our team is where new model capabilities are developed. We build the data, environments, graders, training methods, and feedback loops that shape what our next agents can do, then carry those capabilities through major training runs and into the products people use.

About the Role

As a researcher working on Frontier Evals & Environments, you will help build model environments to drive progress towards safe AGI/ASI. Your work will directly guide the research programs of the most ambitious training runs at OpenAI. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people.

Responsibilities

• Create ambitious RL environments to push our models to their limits, and measure frontier model capabilities, skills, and behaviors
• Develop new methodologies for automatically exploring the behavior of these models
• Dive deep into the science of measurement, including understanding scalability, reliability, and variance of our evaluation methodology
• Help steer training for our largest training runs, and see the future first
• Design scalable systems and processes to support continuous evaluation
• Build self-improvement loops to automate model understanding

Requirements

• Strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and the ability to learn quickly across areas you have not worked in before.
• 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.
• Excitement for open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution.
• Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with.
• Ability to move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next.
• Comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group.
• Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous.
• Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users.

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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