RE/RS, Data Understanding - Foundations

Responsibilities

• Advance how OpenAI builds and understands pretraining data at scale by treating data quality and curation as core research problems
• 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
• Translate successful research into scalable data processing pipelines

Requirements

• Strong track record of new or improved ML ideas through publications, projects, or applied research
• Ability to own and drive a research agenda, from problem selection to long-running impact
• Experience with large-scale data processing
• Excitement for OpenAI’s empirical, collaborative approach to research

Preferred Qualifications

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

Benefits

• Competitive salary and generous equity
• Medical, dental, and vision insurance
• 401(k) retirement plan with employer match
• Paid parental leave and flexible PTO
• Daily meals in the office and mental health support
• Annual learning and development stipend

About the Company

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.