Foundations Data Understanding Research Engineer

OpenAI; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

OpenAI is seeking researchers to advance how pretraining data is built and understood at scale. You will treat data quality and curation as core research problems, developing methods to select, combine, and transform data to improve model capabilities.

Collaborating with frontier models and web-scale data, you will design experiments to understand how data choices affect learning and translate findings into scalable data processing pipelines.

Qualifications

• Strong track record in ML ideas via publications, projects or applied research.
• Own and drive a research agenda from problem selection to long-running impact.
• Experience in data-centric AI and large-scale data processing.

Responsibilities

• Develop methods to select, combine and transform data for improved model capabilities.
• Create high quality datasets and their quantized representations for pretraining.
• Design rigorous experiments to understand how data choices affect learning and downstream behavior.
• Translate research findings into scalable data processing pipelines.

Skills

Data quality

Research

Experimentation

ML concepts

Education

PhD in ML/CS

Tools

Python

PyTorch

TensorFlow

Job description

OpenAI is seeking researchers to advance how pretraining data is built and understood at scale. You will treat data quality and curation as core research problems, developing methods to select, combine, and transform data to improve model capabilities.

Collaborating with frontier models and web-scale data, you will design experiments to understand how data choices affect learning and translate findings into scalable data processing pipelines.