Research Engineer / Research Scientist - Personal AGI, Personalization

OpenAI

San Francisco, USonsite$295k-$555k/yrPosted Aug 3, 2026
Posting intelligenceActively listed

Skills

openaiasanaml

About the role

About the Team

The Personalization-Memory team, within OpenAI's broader Personal AGI organization, is focused on developing agents that can learn from prior interactions in order to become more helpful and efficient over time. We build general-purpose memory and personalization capabilities that transfer across ChatGPT and other agentic products, and we collaborate with applied engineering on the product surfaces that allow users to interact with memory.

About the Role

As a Research Engineer / Research Scientist on the Personalization-Memory team, you will research and develop improvements to memory usage and personalization in OpenAI's frontier models. Our team works on reinforcement learning, dataset creation, evaluations, and other post-training methods. We partner closely with research and product teams across the company to realize the vision of a truly personalized ChatGPT.

We're looking for individuals who have a background in frontier model post-training, are able to iterate quickly, and who are passionate about product-driven research.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

- Own and pursue a research agenda for improving memory use and personalization in frontier models.

- Build robust evaluations for tracking modeling improvements.

- Design, implement, test, and debug code across our research stack.

- Collaborate closely with the research and product teams to influence the shape of technical solutions in the product.

You might thrive in this role if you:

- Are passionate about personalization and building personalized assistants.

- Have experience working with user signals and human data to turn feedback into reliable signals for training and evaluation.

- Have a deep understanding of frontier model post-training and machine learning applications.

- Value principled approaches and research craftsmanship.

- Are comfortable diving into a large ML codebase to debug.

- Thrive in a fast-paced, dynamic, and technically complex environment.

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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

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

This Research Engineer role pays $295k-$555k/yr. Within typical range for research engineer roles in United States.

Questions about this role

Click "Apply with AI Applyd" above and you are done. Your resume is rewritten for this advert, the screening questions are answered, and it is submitted on OpenAI's own hiring system. No retyping your history, no fourteen tabs, no evening lost.

Compensation for Research Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Research Engineer hub for United States medians across recent openings.

You never touch the form - the application is filled and submitted for you on OpenAI's own hiring system. It is not marked sent when we press submit. It is marked sent when a confirmation from their system arrives at the address we apply with, and your dashboard shows which stage each application is at until then.

Twelve applicant tracking systems have a real apply path: Workday, Greenhouse, Lever, Ashby, Workable, iCIMS, Personio, Recruitee, Teamtailor, Rippling, Breezy and SmartRecruiters. Your application goes in on the employer's own hiring system, never into an aggregator queue.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.