RE/RS, Data Understanding - Foundations
OpenAI · Zurich, Switzerland
CHECKED 2H AGO
Frontier labremote
At a glance
Highlights
- Advance pretraining data research at web scale for frontier models.
- Create high-quality datasets and quantized representations for training.
- Design experiments revealing how data choices shape model behavior.
Ideal candidate
Empirical ML researcher who owns long-running agendas and treats data curation as core research, excited by collaborative frontier work and thoughtful about AI impact and data quality.
Requirements
- Have a strong track record of new or improved ML ideas, through publications, projects, or applied research.
- Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact.
- Be excited by OpenAI's empirical, collaborative approach to research.
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets