Founding Research Scientist, Computer Vision (PhD)
Hybrid (San Francisco, CA), Hybrid (New York, NY)$150k - $200k + equityFull-timePosted 3mo ago
About the role
Rudus is an AI-powered takeoff platform for structural and site concrete. This role leads the research for the drawing-understanding stack, shipping models into production and iterating with estimators on real bids.
Responsibilities
- Advance detection and autocomplete models for structural elements (footings, slabs, columns, walls) and site elements (curbs, paving, sidewalks, joint layouts)
- Build document-understanding systems for schedules, specs, and section details, including cross-sheet reasoning
- Solve geometry problems: auto-scale detection, boundary completion, smart exclusions, revision diffing
- Design training and eval pipelines on customer drawing data, improving accuracy project over project
Qualifications
- PhD (or equivalent research experience) in computer vision, ML, or a related field
- Track record turning research into working systems- strong Python required
- Experience with document AI, object detection, vectorized/CAD-like data, or multimodal LLMs
- Excited by messy real-world data over benchmark leaderboards
Skills
Required:PythonComputer Vision
Last updated Oct 25, 2026. Interested? Apply on the company site.
About Rudus
AI Takeoffs for Concrete
Rudus is an AI-powered takeoff and estimation platform enabling concrete contractors to win 3x more projects yearly. It automatically identifies every concrete structure like footings, walls, columns, and slabs on plans, eliminating the manual work and reducing estimation time by 70%. Concrete is the most-used material on earth after water, and demand is surging with the AI infrastructure boom.
More open roles at Rudus
- Founding Engineer3mo agoHybrid (San Francisco, CA)
- Forward Deployed Engineer3mo agoHybrid (San Francisco, CA) · Engineering