The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

Team Description
OpenAI is looking for exceptional researchers to join the Post-Training Frontiers team, which is responsible for post-training the agentic models we ship across Codex, the API, ChatGPT Thinking, and ChatGPT Pro. The Post-Training Frontiers team sets up the pipeline for deciding which integrations can go into the post-training run, develops its own horizontal improvements to the model, and trains the final model.

The role requires working on the most impactful horizontal improvements for the next model, which could include factuality, instruction following, function calling, multi-agent collaboration, calibrated reasoning effort, tool use, or improving taste in our models. You might build or improve our grading stack, improve our user-data flywheel, or automate our processes to make large post-training runs faster, more reliable, and easier for researchers to use.

This is a team for people who want their work to land directly in models used by hundreds of millions of people. The right person is deeply technical, highly independent, goal-oriented rather than method-oriented, and excited by the messy, high-agency work of turning research ideas into production model behavior

In this role, you will:

• Own end-to-end research and engineering projects that improve the final post-training of OpenAI’s agentic models.

• Decide, together with partner teams, which integrations are ready for inclusion in major model runs.

• Develop horizontal model improvements across factuality, instruction following, tool/function calling, multi-agent behavior, reasoning-effort calibration, and other broad capabilities.

• Build and improve training, evaluation, grading, and data infrastructure for large-scale RL/post-training runs.

• Create evals and diagnostics that help us understand whether a model is ready to ship.

• Improve the feedback loop from real product usage into post-training, including better ways to learn from implicit user feedback.

• Collaborate closely with Codex, API, ChatGPT, product, training, and other post-training teams to make frontier models more useful, reliable, and agentic.

You might thrive in this role if you:

• Have strong ML fundamentals and hands-on experience with LLMs, RL, RLHF, post-training, evals, or model training.

• Are an unusually strong engineer who can move quickly in complex systems and make pragmatic technical decisions.

• Can own ambiguous problems end-to-end without needing a tightly specified roadmap.

• Care more about impact than method, and are happy to do unglamorous but load-bearing work when it matters.

• Have excellent taste in model behavior and can reason about what “good” looks like across many user-facing domains.

• Are comfortable working across research, infrastructure, data, evals, and product boundaries.

• Are excited to train and ship the frontier agentic models that power Codex, ChatGPT, and the API.

Nice to have:

• Experience with large-scale model training or RL systems.

• Experience building evals, graders, reward models, or data pipelines for LLM training.

• Experience with coding agents, tool-using agents, browser/computer-use agents, function calling, or multi-agent systems.

• Background in quant, systems, infra, or other environments where you built reliable machinery for high-stakes experimentation.

• Evidence of strong product taste, especially around writing, design, code generation, or agent workflows.

About OpenAI

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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $295K - $445K