Research Engineer / Research Scientist - Personal AGI, Personalization

OpenAI; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Job summary

OpenAI's Personalization-Memory team is focused on learning from prior interactions to become more helpful and efficient. We develop memory and personalization capabilities that transfer across ChatGPT and other agentic products.

This San Francisco-based role involves researching improvements to memory usage, reinforcement learning, and post-training methods, building evaluations, and collaborating with research and product teams to ship product-driven research.

Qualifications

• Background in frontier models post-training.
• Ability to iterate quickly and conduct product-driven research.
• Experience with user signals and human data for evaluation.

Responsibilities

• Own and pursue a research agenda for memory and personalization.
• Build robust evaluations to track modeling improvements.
• Design, implement, test, and debug code across the research stack.
• Collaborate with research and product teams to shape technical solutions.

Skills

Frontier model post-training

Research agenda

Memory and personalization

Reinforcement learning

Code debugging ML stacks

Job description

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.

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 Affirmpitive 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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