Co-Op, Data Extraction
Core
Building AI systems to extract and structure knowledge from unstructured scientific literature, patents, and technical reports into structured signals for downstream applications.
Role type
Co-op, data extraction engineer (NLP/CV)
Builds
AI systems for scientific knowledge extraction, data pipelines for text/tables/visuals
Domain
Physical and life sciences, scientific data processing
Deliverable
production ML models
Required skills
machine learning fundamentals, Python, NLP concepts, computer vision concepts
Preferred skills
multimodal models, document understanding (OCR, table/figure extraction), messy real-world datasets, scientific document parsing
Technologies
Python, NLP, computer vision
Responsibilities
Fine-tune and evaluate language or multimodal models for data extraction; build and test pipelines to structure unstructured scientific data; run extraction pipelines and analyze results; document findings and share work via presentations or publications
Seniority
Co-op, undergraduate/graduate student
