Computer Vision, Applied Research Scientist
Boon Technologies, Inc.· Engineering
Remote$180k - $250kFull-timePosted 2mo ago
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 role combines research and production, owning end-to-end experiments from architecture design to deployment in inference pipelines, with autonomy over direction and experimental ideas.
Responsibilities
- Design and evaluate novel multi-stage vision architectures for construction drawing understanding — perception, text-object association, and relational reasoning across elements
- Drive architecture decisions: backbones, decoders, fusion strategies, loss functions, training regimes
- Run rigorous experiments with clean baselines, ablations, and held-out evaluation on real construction drawings
- Own supervised training and self-supervised pretraining strategies
- Pursue research directions that compound accuracy across trades and scopes
- Take models from experimental notebooks to the production inference pipeline
- Work hands-on with PyTorch, YOLO, SAM, DINO, and other modern CV stacks
- Collaborate with ML engineers on deployment, quantization, and serving
- Debug real failures on real customer drawings and close the loop into the next training run
- Collaborate with synthetic data, annotation, and infrastructure teams
- Partner with engineering leadership on the accuracy roadmap and strategic direction
- Write clean internal research reports and present findings to leadership
- Help shape data acquisition and annotation needs; define evaluation datasets and metrics
- Identify failure modes on real customer drawings and design targeted experiments
Qualifications
- 7+ years of computer vision research experience, with track record of published papers, open-source work, or production CV models
- Deep hands-on experience with multi-modal/vision transformers — segmentation, detection, or joint text+vision tasks
- Experience with modern vision transformer architectures like SAM, DINO, or similar foundation models
- Ability to move from research idea to trained model to production-shipped system with minimal hand-holding
- Rigorous experimental mindset with clean baselines, meaningful ablations, honest evaluation on real data
- Strong architecting capabilities and ability to defend choices with reasoning and experiments
- Autonomy and alignment with team goals; strong communication in English
- Strong PyTorch fluency and experience training large vision models
- Production experience moving models from research to production inference pipelines
Skills
Required:Multi-modal dense predictionVision transformersProduction deploymentPyTorchExperimentation & evaluationCommunication
Benefits
- Direct ownership of research on a problem nobody in construction AI has solved — the first foundation model for construction drawings
- Autonomy to propose, defend, and run your own experiments, shipping the winners to real customers
- Publication-friendly — we support publishing at top venues
- Work at the intersection of computer vision research and real-world industry impact
- Collaboration with a world-class team from top tech companies and research institutions
- Meaningful equity in an early-stage, well-funded startup
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Boon Technologies, Inc.
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