Senior Applied Research Scientist, Data Curation
NVIDIA· Engineer, Sys SW
Hybrid (US, CA, Santa Clara), Remote$224k - $356.5kfull-timePosted 1mo ago
About the role
Senior-level research scientist focused on data curation and multimodal content extraction at petabyte scale to support foundation-model training, including development of pipelines, deduplication, and deployment of inference microservices.
Responsibilities
- Working with researchers to develop efficient and performant models and data pipelines that extract and curate multi-modal data (documents, image, audio and videos) used in the training of foundation models.
- Building pipelines for petabyte-scale extraction and content deduplication, including document and html parsing, fuzzy and near-duplicate deduplication, semantic deduplication, and substring deduplication.
- Contributing to the expansion and optimization of curation methodologies targeting petabyte-scale multimodal data run across hundred-node GPU clusters to improve the quality of foundation model training sets.
- Exploring and crafting datasets, metrics, experiments, and validation scripts to develop standard methodologies for research.
- Helping ML Engineers scale pipelines to production capability through the development of NVIDIA Inference Microservices (NIMs) and blueprints which demonstrate how to deploy NIMs in a pipeline effectively.
- Writing papers, blog posts, documentation and training materials that help customers understand and take advantage of our research.
- Keeping up to date with the latest developments in data curation across academia and industry.
Qualifications
- Master's, Ph.D. or equivalent experience in data curation, document AI, information retrieval or multimodal research, with a track record of publication in leading conferences like CVPR, ICCV, ECCV, KDD, etc.
- Hands-on experience developing computer vision and document-extraction models and pipelines, including layout analysis, OCR, and table, figure, or formula extraction. Kaggle Grandmaster status or strong top-tier results in ML competitions a plus.
- Understanding of state-of-the-art in data curation research, focusing on multimodal content extraction and deduplication.
- 10+ years of experience developing multimodal systems across a range of models and platforms. Information retrieval experience is a big plus.
- Proven expertise managing distributed data frameworks like Ray, Spark, or Dask, with a history of deploying massive, multi-node ML or data processing tasks in production.
- Knowledge of batching, streaming, and scaling of ingestion pipelines to support real-world applications.
- Excellent Python programming skills and hands-on experience with PyTorch or comparable modern deep learning frameworks.
- Ability to communicate ideas clearly through blog posts, papers, kernels, GitHub, etc.
- Excellent communication and interpersonal skills; experience mentoring junior engineers and interns a plus.
Skills
Required:Multimodal data extractionDocument layout analysis and OCRData deduplication at scaleDistributed data frameworksPythonPyTorchCommunication
Benefits
- Equity
- comprehensive benefits package
- base salary range 224,000 USD - 356,500 USD per year, location-based
- remote work accepted
Last updated Aug 28, 2026. Interested? Apply on the company site.
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