
Head of Computer Vision
Job Description
Posted on: October 7, 2025
Location: Remote-first (East Coast preferred)
About the Company
We’re partnering with a Venture Studio launching a stealth-stage startup that’s tackling one of the hardest unsolved problems in ConstructionTech: automatically converting 2D construction drawings into 3D structural components. This breakthrough technology has the potential to reshape how buildings are designed, engineered, and constructed.
As Employee #2, you’ll work directly with the founders to design and implement the computer vision foundation of the product. This is an opportunity to join early, make core technical decisions, and own an end-to-end system that solves a high-impact real-world challenge.
Why This Role Is Compelling
- Hard, meaningful technical problem — apply advanced CV methods to a domain that hasn’t been cracked yet
- Early-stage impact — join as Employee #2, working directly with founders and shaping core architecture
- Remote-first flexibility — preference for East Coast–based candidates for easier collaboration
What You’ll Do
- Lead development of computer vision models to interpret 2D architectural and engineering drawings
- Build robust pipelines to convert visual data into structured 3D geometric representations
- Collaborate with product and founding teams to define technical roadmap and deliver proof-of-concept systems
- Deploy scalable ML systems in production environments, ensuring accuracy, reliability, and speed
- Evaluate emerging techniques in image classification, object detection, and generative modeling for application to this domain
What We’re Looking For
- Strong background in Computer Vision (image classification, object detection, segmentation)
- Proficiency in Python and CV/ML libraries such as OpenCV, PyTorch, and TensorFlow
- Experience developing end-to-end solutions in dynamic, fast-moving environments
- Understanding of 3D geometry, CAD data, or architectural drawing interpretation is a plus
- Self-starter comfortable working in ambiguous, early-stage settings
Apply now
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