OpenAI
Research
RE/RS,DataUnderstanding(MM)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“RE/RS, Data Understanding (MM) at OpenAI. Skills: Data Understanding, Multimodal Data, ML Research, Data Processing. creating high quality datasets. quantized representation”
What You'll Achieve.
creating high quality datasets; quantized representation; used effectively in big model training runs; advance how OpenAI prepares data; curates data; synthesizes data; understands multimodal data; carrying long-running work through to impact; measuring whether changes in the dataset improve model performance
Industry & Context.
research and production problems; improving noisy data pipelines; building better quality filters; using models to automate data prep
What They're Looking For.
Must Have
track record of new or improved ML ideas, publications, projects, applied research, own and drive a research agenda, choosing the right multimodal data problems, carrying long-running work through to impact, OpenAI’s empirical, collaborative approach to research
Nice to Have
multimodal learning, audio, vision, video, synthetic data, data-centric ML, Thoughtfulness about AI’s impact, privacy, provenance, data quality, building high-performance deep learning, large-scale data processing systems
What You'll Do.
creating high quality datasets
quantized representation
synthesizing multimodal data
building VQ representations
advance how OpenAI prepares data
understands multimodal data
research multimodal data problems
production multimodal data problems
synthesizing multimodal content
improving noisy data pipelines
building better quality filters
using models automate data prep
measuring dataset changes improve model performance
How You'll Work.
Team & Collaboration
collaborative approach to research
Process & Methodology
Own and drive a research agenda
Full Job Description
About The Team 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. About The Role 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. Nice To Have - 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 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on
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