ML Research Intern

Structured AI | NYC | In-person | Can support OPT and CPT

The Role

You’ll turn research ideas into production-grade models that directly shape the product.

What You’ll Do

• Research and prototype ML approaches for automated clash detection in complex engineering drawings (MEP, structural, civil)
• Develop computer vision pipelines for detecting geometric conflicts across layered technical plans
• Design and evaluate models that understand spatial relationships, symbols, and annotations
• Work with large-scale PDF and BIM-derived datasets
• Build data curation, labeling, and evaluation frameworks
• Experiment with multimodal approaches (vision + structured metadata + rules)
• Optimize inference performance for real-world deployment
• Document findings and contribute to our internal research roadmap

You’ll work directly with founding engineers on problems at the intersection of:
computer vision, spatial reasoning, document intelligence, and real-world infrastructure systems.

What We’re Looking For

• Strong foundations in machine learning (deep learning, optimization, statistics)
• Experience with Python and ML frameworks (PyTorch preferred)
• Familiar with computer vision concepts (detection, segmentation, embeddings, etc.)
• Comfortable reading research papers and implementing ideas from scratch
• Curious, experimental, and willing to challenge assumptions

Excited about applying ML to physical-world systems (not just benchmarks)