Summer Internship - Data Science / Data Engineering at MKThink · San…

Summary: MKThink is a future-forward design firm dedicated to creating intelligent spaces that improve quality of life. They are seeking a Data Science or Data Engineering intern to support the development of an unstructured data extraction pipeline, building systems that ingest documents and improve output accuracy through user feedback. Responsibilities: - Build data pipelines for ingesting and processing unstructured documents, including PDFs with inconsistent structure and content - Develop extraction workflows that combine document parsing, feature engineering, ML/NLP methods, and rule-based logic to identify relevant fields - Design methods to evaluate what content is useful, discard irrelevant content, and align extracted information to a predefined schema - Implement confidence scoring, validation, and error-handling logic to improve extraction accuracy and reliability - Build a human-in-the-loop feedback workflow where users can confirm, reject, or correct extracted fields and trigger reruns toward improved output Required Qualifications: - Graduate student preferred, advanced undergraduate considered - Strong Python - Experience with data pipelines - Experience with machine learning - Experience with unstructured data processing - Build data pipelines for ingesting and processing unstructured documents - Develop extraction workflows that combine document parsing, feature engineering, ML/NLP methods, and rule-based logic - Design methods to evaluate what content is useful, discard irrelevant content, and align extracted information to a predefined schema - Implement confidence scoring, validation, and error-handling logic to improve extraction accuracy and reliability - Build a human-in-the-loop feedback workflow where users can confirm, reject, or correct extracted fields and trigger reruns toward improved output Preferred Qualifications: - Graduate student preferred in Data Science, Computer Science, Engineering, or related field - Experience working with unstructured data, document intelligence, information extraction, or schema mapping - Comfortable working on applied modeling and data engineering problems with ambiguous inputs and variable document formats - Proactive and highly self-motivated, able to operate independently with minimal guidance and supervision Required Skills: Python, Data pipelines, Machine learning, Natural language processing, Unstructured data processing, Document parsing, Feature engineering, Rule-based logic, Information extraction, Schema mapping, Confidence scoring, Validation, error-handling