Co-Op, Data Extraction (AI Engineering)

TL;DR

Co-Op, Data Extraction (AI Engineering): Building AI systems to extract and structure knowledge from scientific literature and patents with an accent on fine-tuning language and multimodal models. Focus on designing and testing pipelines for unstructured scientific data across text, tables, and visuals.

Location: Cambridge, MA, USA

Company

hirify.global is building Scientific Superintelligence to accelerate discovery across medicine, materials, and energy by creating systems that autonomously execute the scientific method.

What you will do

• Contribute to AI systems extracting and structuring knowledge from scientific literature and patents.
• Fine-tune and evaluate language, multimodal, or specialized models under mentor guidance.
• Build and test pipelines for structuring unstructured data across text, tables, and visuals.
• Run extraction pipelines, analyze results, and document findings.
• Share work through team presentations, write-ups, or contributions to publications and open-source projects.

Requirements

• Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field.
• Solid foundation in machine learning fundamentals and Python.
• Familiarity with NLP or computer vision concepts.
• Location: Must be based in or able to work in Cambridge, MA, USA.

Nice to have

• Coursework or projects involving multimodal models or document understanding (OCR, table/figure extraction).
• Experience working with messy, real-world datasets.
• Interest in scientific document parsing.

Culture & Benefits

• Hands-on experience shipping work directly into production systems.
• Mentorship from experienced research scientists and engineers.
• Fast-paced startup environment tackling problems of historic importance.
• Culture driven by truth, trust, curiosity, grit, and velocity.