Research Engineer / Research Scientist, Data Understanding - Foundations

Stack

Responsibilities

• ▹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 and why
• ▹Translate successful research into scalable data processing pipelines

Requirements

• ▹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
• ▹Excitement about 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

Soft skills

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The Data Understanding team creates high-quality datasets and their quantized representation for model training: synthesizing data, building VQ representations, processing, filtering, deduplication, quality control and tokenization.