Senior Applied Research Scientist, Data Curation

NVIDIA's Curator team is seeking a Senior Applied Research Scientist with experience researching, developing, and deploying deep learning models at scale across various modalities.

You will join a team of Applied Research Scientists, Machine Learning and MLOps Engineers working on the next generation of data curation and document extraction pipelines for foundation-model training.

Responsibilities:

• Develop efficient and performant models and data pipelines for extracting and curating multi-modal data used in foundation model training.
• Build pipelines for petabyte-scale extraction and content deduplication.
• Contribute to expanding and optimizing curation methodologies targeting petabyte-scale multimodal data.
• Explore and craft datasets, metrics, experiments, and validation scripts.
• Help ML Engineers scale pipelines to production capability.
• Write papers, blog posts, documentation, and training materials.
• Stay updated on the latest developments in data curation.

Requirements:

• Master's, Ph.D., or equivalent experience in data curation, document AI, information retrieval, or multimodal research.
• Hands-on experience developing computer vision and document-extraction models and pipelines.
• Understanding of the state of the art in data curation research.
• 10+ years of experience developing multimodal systems.
• Proven expertise managing distributed data frameworks.
• Excellent Python programming skills and experience with PyTorch or similar deep learning frameworks.
• Strong communication and interpersonal skills.

Location is flexible, and the team is remotely situated, focusing on NA/EU time zones. NVIDIA offers highly competitive salaries and a comprehensive benefits package.