RE/RS, Data Understanding (MM)

About the role

The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. We're looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You'll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance. We Expect You To 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 multimodal data problems to carrying long-running work through to impact. Be excited by OpenAI's empirical, collaborative approach to research.

Requirements

• Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML.
• Thoughtfulness about AI's impact, including privacy, provenance, and data quality.
• Experience building high-performance deep learning or large-scale data processing systems.
• About OpenAI
• We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
• For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement .
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• We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link .
• OpenAI Global Applicant Privacy Policy
• At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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