The Role
You'll help turn research ideas into production-grade models. We're building computer vision systems that understand engineering drawings at a level no existing tool can — and you'll be part of making that happen.
What You'll Do
- • Research and prototype ML approaches for clash detection and drawing analysis
- • Build and iterate on CV pipelines for engineering documents
- • Design model evaluation frameworks and benchmark datasets
- • Work with large-scale proprietary PDF and BIM datasets
- • Experiment with multimodal LLM approaches for structured data extraction
- • Optimize models for inference speed and production reliability
- • Document experiments and contribute to internal knowledge base
What We're Looking For
- • Strong ML foundations (loss functions, training dynamics, regularization)
- • Proficient in Python and PyTorch (or JAX / TensorFlow)
- • Familiarity with core CV concepts (CNNs, transformers, object detection)
- • Ability to read and implement ideas from research papers
- • Bonus: OCR, document understanding, or multimodal models
Why Join
- • YC-backed — work at a well-funded startup at the forefront of AI
- • Publish-worthy research — real problems, novel approaches, real data
- • Proprietary datasets — access to AEC datasets that don't exist anywhere else
- • Oxford researchers — mentorship from technically excellent founders
- • Your models go to production — real impact, not a shelf project
Benefits
Competitive Stipend
Research Impact
Incredible Team
NYC Experience
Excited by this? Send us a short intro, any papers you've read or experimented with, and whatever you've built in ML.
Apply Now