OpenAI Is Hiring a Research Engineer
for Model Experience in San Francisco
OpenAI has an open Research Engineer / Research Scientist role on the Model Experience team, part of the broader Personal AGI group. The team shapes how ChatGPT communicates, responds and behaves across contexts and languages, and the posting lists a San Francisco base, a three-day-a-week hybrid pattern, and a compensation band of $380,000-$500,000 plus equity. Here is what the listing actually says, and how to reach it without getting caught by a fake recruiter.
Contents
1. The Role at a Glance 2. What the Model Experience Team Does 3. Duties and Requirements 4. How to Apply 5. How to Verify the Posting Is Real 6. Frequently Asked Questionsundefined
Key facts from the official posting, published 22 July 2026:
- Company — OpenAI.
- Role — Research Engineer / Research Scientist, Personal AGI, Model Experience.
- Team — within OpenAI's Personal AGI group, which trains and improves the models deployed into ChatGPT and the API.
- Location — San Francisco, CA, hybrid, 3 days in the office per week.
- Employment type — Full Time.
- Compensation — $380,000-$500,000 USD per year plus equity.
- Relocation — relocation assistance offered to new employees.
- Apply channel — OpenAI's official careers site and its official job board.
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The Personal AGI team is responsible for training and improving the pre-trained models deployed into ChatGPT, the API and potential future products. Within it, the Model Experience team shapes the default character and behaviour of ChatGPT: how the model communicates, responds to users, uses its capabilities, and behaves across different contexts and languages. The posting describes the team's goal as taking an opinionated view of what good human-AI interaction should look like, then turning that vision into real model behaviour through human data, evaluations, reward models and post-training.
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What you would do
- Own and pursue a research agenda to improve model capability and performance.
- Collaborate closely with other research and product teams, allowing customers to optimise their own models.
- Build robust evaluations for tracking modeling improvements.
- Design, implement, test and debug code across the research stack.
What they are looking for
- A deep understanding of machine learning and its applications.
- Good judgment about model behavior, and the ability to communicate that judgment effectively.
- A tendency to enjoy ambitious, qualitative problems and turn them into concrete training interventions.
- A working knowledge of relevant models, and experience building evaluations for model capability improvement.
- Comfort diving into a large ML codebase to debug.
- Fluency in a dynamic, technically complex and collaborative environment.
How to Apply
Apply only through official OpenAI channels:
- Role listing — https://jobs.ashbyhq.com/openai/872ca3d0-c8c0-4585-9a34-7f9ed6b4dbf9
- OpenAI careers — https://openai.com/careers/
OpenAI does not charge application, interview or onboarding fees. If anyone asks you to pay to be considered for an OpenAI role, it is a scam.
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Browse the Directory →How to Verify the Posting Is Real
AI and research roles are heavily impersonated, often with job-title flattery plus an urgent money request. Run this checklist before you reply to anything:
- Check the domain — genuine OpenAI postings live on
openai.com/careersand OpenAI's official job board atjobs.ashbyhq.com/openai. Anything on a Gmail address, a lookalike domain, or a free-hosting or aggregator site is not OpenAI. - Match the opening — confirm the exact role, team and location on the official board. A “recruiter” quoting a vacancy you cannot find there is running a scam, however senior the title sounds.
- Never pay to apply — no legitimate employer charges for applications, “equipment”, kits, visas, tests or interviews. Requests for gift cards, crypto or bank transfers are the single strongest red flag.
- Stay on the official platform — a message that moves you to WhatsApp, Telegram or a personal email address is an attempt to take the conversation off the audit trail.
- Verify before documents — send ID, bank details or proof of eligibility only after a confirmed offer, through official systems only.