Senior Applied Research Scientist

Job Summary

Seeking a full-time Senior Applied Research Scientist specializing in Data Curation, the candidate will work remotely or from various locations to research, develop, and deploy deep learning models for data extraction and curation at petabyte scale, contributing to the advancement of foundation-model training methodologies.

Key responsibilities:

• Develop efficient models and data pipelines for extracting and curating multi-modal data used in foundation model training
• Build pipelines for petabyte-scale content deduplication and extraction, including various parsing techniques
• Contribute to the optimization of curation methodologies and assist in scaling pipelines to production capabilities

Required qualifications:

• Master's, Ph.D., or equivalent experience in data curation, document AI, or multimodal research, with a strong publication record
• Hands-on experience in developing computer vision and document-extraction models, including layout analysis and OCR
• 10+ years of experience in developing multimodal systems and managing distributed data frameworks like Ray or Spark
• Excellent Python programming skills with strong experience in PyTorch or similar deep learning frameworks
• Proven ability to communicate complex ideas through publications, blog posts, or open-source contributions