About the Team
At OpenAI, we strongly believe in the importance of data and have seen repeatedly how large of an impact focusing on data quality can yield across all of our projects. The Pre-training Data Processing team brings this focus to the pre-training of our flagship GPT models, owning the pipelines for turning raw data into the high quality, diverse, and multimodal datasets used to train our largest models. We work closely with teams focused on data acquisition, data quality, and multimodal data throughout Research. Most recently, in collaboration with these groups, we were responsible for building the dataset used to pre-train OpenAI’s newest multimodal model GPT-4o.
In addition to building new pre-training datasets, we collaborate on data research and acquisition with teams in Pre-training and Multimodal to explore ways to get more out of data, including questions around efficiency, efficacy, and diversity. We also own and continuously improve the infrastructure used across several teams to prepare data for training models small and large.
About the Role
As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We’re looking for people with solid engineering skills who are comfortable working with large distributed systems and strive to write quality, well tested code.
The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.
In this role, you will:
Build and own data pipelines operating on internet-scale data spanning the text, image, and audio modalities
Collaborate with many teams within Pre-training and across the company to incorporate our latest and greatest research into pre-training datasets
Research new methods for improving our datasets alongside researchers within Pre-training
You might thrive in this role if you:
Enjoy working at the cutting-edge of large language model research
Have experience running complicated processing on very large datasets
Are comfortable working in a fast-paced, dynamic environment - research can evolve quite rapidly!
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.
