Research Engineer / Research Scientist - Post Training, Memory

OpenAI; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

OpenAI, Inc. in San Francisco, CA is seeking a Research Engineer / Research Scientist for the Personalization-Memory team. You will advance memory architectures and post-training methods to enable long-horizon reasoning and product impact.

Join a fast-moving research environment with collaboration across product and research teams; this role offers a hybrid work model (3 days in the office) and relocation assistance for new employees.

Qualifications

• Background in reinforcement learning research and memory-focused ML.
• Ability to iterate quickly and translate rigorous research into product impact.
• Experience debugging large ML codebases and collaborating with product teams.

Responsibilities

• Own and pursue a research agenda for improving long-horizon memory 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.

Skills

Reinforcement learning

Memory architectures

Long-horizon tasks

Code debugging

Job description

About the Team

The Personalization-Memory team, within OpenAI's broader Post Training 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, your work will span memory architecture, post-training, and developing long-horizon tasks for training and evaluations.

We're looking for individuals who have a background in reinforcement learning research, are able to iterate quickly, and who can convert scientific rigor and long-term research into realized product impact.

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 long-horizon memory 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:

• Love being on the cutting edge of RL and frontier model research.

• Value principled approaches and research craftsmanship.

• Are passionate about long-horizon tasks, memory, and turning your research into product impact.

• 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 Aff….

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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