# RE/RS, Data Understanding - Foundations

**Company**: OpenAI
**Location**: San Francisco
**Job type**: Full time
**Salary**: $445K – $555K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/f9731ef2-9b8a-49ec-95ca-ecef35fa996a?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7870fa23-585

## Description

We're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior.

You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines.

### 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.

### 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.

## Skills

### Required
- Machine Learning
- Data Science
- Deep Learning
- Data Processing
- Research

### Nice to have
- High-Performance Computing
- Large-Scale Data Processing
- AI Ethics

---

Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/f9731ef2-9b8a-49ec-95ca-ecef35fa996a?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)