# Computer Vision, Applied Research Scientist at Boon

- Company: Boon
- What the company does: Boon is the intelligence layer for construction — an AI estimator that reads full plan-and-spec sets, catches conflicts, runs takeoffs, and levels bids. Backed by Redpoint.
- Company website: https://www.getboon.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: United States (Remote)
- Work setup: Remote
- Posted: 2026-08-12
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/boon/2570bca0-033a-4c72-8ad9-d45227bfdde7
- Page: https://www.1752.vc/careers/jobs/boon-computer-vision-applied-research-scientist/

## About the role

We are building the first foundation model for construction drawings — a unified multi-modal vision system that reads, understands, and reasons about architectural, mechanical, electrical, plumbing, and structural plans the way a human estimator does. As a Computer Vision Applied Research Scientist at Boon, you will own end-to-end experiments on our foundation model, from architecture design through self-supervised pretraining, supervised fine-tuning, and shipping production models into our inference pipeline.

## What they're looking for

- You have 7+ years of computer vision research experience, ideally with a track record of published papers, open-source work, or production CV models
- You have deep hands-on experience with multi-modal/vision transformers — segmentation, detection, or joint text+vision tasks
- You have worked with modern vision transformer architectures like SAM, DINO, or similar foundation vision models
- You can move from a research idea to a trained model to a production-shipped system with minimal hand-holding
- You think about experiments rigorously — clean baselines, meaningful ablations, honest evaluation on real data
- You have a point of view on architecture decisions and can defend it with reasoning and experimental evidence

Tags: Engineering