About the Team

The Computer-Using Agent team is responsible for developing and deploying computer-using agents—agents that operate graphical user interface-based tools such as computers and browsers. As the team behind Operator, we collaborate with cross-functional teams at every training and deployment stage to advance the capabilities of these agents. We evaluate and enhance their capabilities holistically, considering aspects such as perception, reasoning, manipulation, long-horizon reliability, safety and more. Combining rigorous research with high-quality engineering across evaluation, data, training, RL environments and shared infrastructures, we aim to create reliable and practical computer-using agents.

About the Role

We’re looking for Research Engineers / Scientists eager to advance the frontier of computer-using agent research.

As a research engineer / scientist, you will accelerate our research agenda by effectively identifying and resolving open questions and technical challenges to achieve research objectives. Collaborating with cross-functional researchers and engineers, you will navigate complex, large-scale infrastructures and adapt to fast-evolving research demands to deliver impactful results.

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:

• Identify open challenges for developing practical computer-using agents, formalize them into concrete problems and make measurable improvements.

• Own and pursue a research agenda to improve model capability and performance.

• Build and innovate components for developing computer-using agents, including datasets, training infra, modeling, evaluation, RL environments, and tasks.

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

You might thrive in this role if you:

• Are excited about making real-world impact through cutting edge agent research and deployment

• Are a team player, willing to do a variety of tasks that move the team forward.

• Excels in execution, consistently and completing tasks efficiently.

• Enjoy fast-paced, collaborative, and cutting-edge research environments.

• Have strong background in multimodal web agents, computer-using agents, relevant large-scale reinforcement learning or agentic safety research.

• Have strong engineering skills in designing and optimizing large-scale machine learning systems

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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

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

OpenAI Global Applicant Privacy Policy

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.