RE/RS, Data Understanding - Foundations
Core
Developing new methods to select, combine, and transform data to create high-quality datasets for big model training runs at OpenAI.
Role type
Research scientist specializing in data understanding and curation
Builds
High-quality datasets and quantized representations for frontier AI models
Domain
Artificial Intelligence / Large Language Model Training
Deliverable
production ML models
Required skills
developing new ML ideas, owning and driving research agendas, designing rigorous experiments, translating research into scalable pipelines
Preferred skills
building high-performance deep learning systems, large-scale data processing systems, thoughtfulness about AI impact and data quality
Technologies
VQ representations, tokenization, data filtering, deduplication
Responsibilities
synthesizing data, building VQ representations, processing and filtering data, quality control, designing experiments to understand data choices and their effect on model learning
Seniority
Senior, hands-on IC