Research Engineer, AI for Science

Who you are

You have a solid background in engineering and a passion for building high-performance systems — your experience includes designing and implementing large-scale distributed machine learning systems that push the boundaries of what is possible in AI. You enjoy writing robust, high-quality machine learning code and are comfortable working at massive scale, which is essential for the innovative projects at OpenAI.

You thrive in collaborative environments and have a knack for translating complex research ideas into scalable, production-ready systems — your ability to work closely with researchers allows you to contribute meaningfully to the science behind the algorithms. You are excited about the potential of AI to transform scientific discovery and are eager to be part of a team that is at the forefront of this revolution.

Your strong programming skills enable you to tackle challenging problems and build reliable systems — you are familiar with various programming languages, particularly Python, and have experience with machine learning frameworks. You understand the importance of engineering excellence in driving major advances in AI and are committed to maintaining high standards in your work.

Desirable

Experience with deep learning systems and familiarity with the latest advancements in AI research would be a plus — you are always looking to expand your knowledge and stay updated on industry trends. A background in scientific research or a related field can also enhance your contributions to the team.

What you'll do

As a Research Engineer at OpenAI, you will be responsible for designing, implementing, and improving large-scale distributed machine learning systems — your work will enable previously impossible capabilities and achieve unprecedented levels of performance in AI applications. You will collaborate closely with researchers to translate their ideas into scalable systems that can be deployed in real-world scenarios.

You will write high-quality machine learning code that is both robust and efficient, ensuring that the systems you build can handle the demands of cutting-edge research and applications. Your role will involve continuous improvement of these systems, as you seek to optimize performance and reliability.

In addition to your technical contributions, you will play a key role in fostering a culture of collaboration and innovation within the team — your insights and expertise will help shape the direction of projects and drive the success of the AI for Science initiative.

What we offer

OpenAI provides a hybrid work model, allowing you to balance in-office collaboration with remote work flexibility — you will be part of a dynamic team that values creativity and innovation. The company is committed to supporting your professional growth and offers relocation assistance for new employees.

You will have the opportunity to work on groundbreaking projects that aim to revolutionize scientific discovery through AI — your contributions will have a meaningful impact on the future of technology and research. OpenAI fosters an inclusive environment where diverse perspectives are valued, and you are encouraged to apply even if your experience doesn't match every requirement.