RE/RS, Data Understanding (AI)

TL;DR

RE/RS, Data Understanding (AI): Developing high-quality multimodal datasets and quantized representations for large-scale model training with an accent on synthesis, filtering, and tokenization. Focus on building automated data preparation pipelines and measuring the impact of dataset changes on model performance.

Location: Onsite in San Francisco, USA

Salary: $445,000 – $555,000 + Equity

Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Develop and curate high-quality multimodal datasets (images, audio, video) and their quantized representations.
• Synthesize multimodal content and supervisions to enhance model training.
• Build and optimize noisy data pipelines, quality filters, and deduplication processes.
• Use ML models to automate data preparation and tokenization.
• Measure and analyze how dataset modifications influence model performance.
• Drive a research agenda from problem identification to implementation and impact.

Requirements

• Strong track record of new or improved ML ideas via publications, projects, or applied research.
• Ability to own and drive a research agenda independently.
• Must be based in or able to work from San Francisco, USA.

Nice to have

• Experience with multimodal learning (audio, vision, video) or synthetic data.
• Background in data-centric ML.
• Experience building high-performance deep learning or large-scale data processing systems.
• Consideration of AI impact, including privacy and data provenance.

Culture & Benefits

• Competitive salary and equity offers.
• Opportunity to work at the forefront of AGI research.
• Collaborative, empirical research environment.
• Equal opportunity employer with a commitment to diversity and inclusion.