RE/RS, Data Understanding - Foundations

The role

You will advance how OpenAI builds and understands pretraining data at scale. You will develop methods to select, combine, and transform data and design experiments to understand how data choices affect model learning.

What you will do

• Develop new methods to select, combine, and transform data
• Create datasets that improve model capabilities
• Design rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior
• Work with frontier models and web-scale data to build evidence for which approaches work
• Translate successful research into scalable data processing pipelines
• Own and drive a research agenda from choosing problems to carrying work through to impact

Required qualifications

• Strong track record of new or improved ML ideas through publications, projects, or applied research
• Ability to own and drive a research agenda
• Excitement by OpenAI's empirical, collaborative approach to research

Nice to have

• Thoughtfulness about AI's impact, including privacy, provenance, and data quality
• Experience building high-performance deep learning or large-scale data processing systems

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They seek to safely deploy AI through their products.