Research Intern, Computer Vision

About the role

Own one research problem end to end: framing, data, experiments, and a prototype that runs on real drawings
Train and evaluate deep learning models for object detection, segmentation, or structured extraction on vector and raster construction drawings
Explore self-supervised and representation learning on our corpus of unlabeled drawings
Design the evaluation for your problem, and present results to the research team

What We're Looking For

• Currently pursuing a Master's, or PhD in Computer Science, AI/ML, Data Science, Mathematics, Electrical Engineering, or a related field
• Strong foundations in Python and at least one deep learning framework (PyTorch or TensorFlow)
• Coursework or project experience in computer vision, image processing, or machine learning
• Curiosity about applied research and a willingness to iterate quickly on ideas
• Comfortable working in a fast-paced, startup-like environment with close collaboration
• Clear written and verbal communication skills

Nice to Have

• Prior research experience, publications, or projects in computer vision or deep learning
• Familiarity with vector graphics and CAD formats (SVG, DXF, DWG, IFC)
• LLM and NLP experience like structured extraction, retrieval over long documents
• Experience with cloud environments (GCP, AWS, or Azure)

How We Work

• Empirical over theoretical — we'd rather run the experiment than argue about it
• Truth-seeking, including about our own results. A negative result reported early is worth more than a positive one defended late
• Honest feedback, given directly