About this opportunity
KonstructIQ lists this Senior Computer Vision / Applied AI Engineer - Construction Plans opportunity in los altos, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
KonstructIQ is a fast-growing startup on a mission to modernize residential construction. We're building the system of record for how contractors run their business - spanning estimating, projects, finances, and money movement. AI is at the center of our product. Contractors can upload construction plans, photos, or describe a project and use KonstructIQ to generate scopes of work, takeoffs, and detailed estimates in minutes.
About the Role
We're looking for a Senior Computer Vision / Applied AI Engineer to improve how KonstructIQ reads construction plans and generates takeoffs - detecting rooms, walls, doors, windows, fixtures, symbols, and dimensions, and turning them into reliable quantities and measurements.
You'll be part of a small team that owns the full pipeline: document ingestion, image and vector processing, scale and geometry, detection and segmentation, multimodal reasoning, measurement, validation, and evaluation. This role is open to on-site / hybrid / remote.
What You'll Be Doing
Build and improve computer vision and multimodal AI systems that detect, classify, segment, and measure plan elements - walls, rooms, doors, windows, fixtures, finishes, and symbols - extracting counts, dimensions, and areas
Improve scale detection and geometric reasoning across drawings of varying scale, orientation, resolution, and format, combining vector PDF data, raster imagery, OCR, and multimodal foundation models
Decide when to use traditional CV, specialized models, multimodal LLMs, deterministic algorithms, or hybrid approaches, and build structured, production-ready outputs from foundation models
Build deterministic post-processing and validation systems - including confidence scoring - that turn probabilistic model outputs into stable, explainable takeoffs and flag ambiguous results instead of silently guessing
Build evaluation frameworks and datasets (labeling strategies, estimator feedback loops) that measure detection accuracy, measurement variance, and end-to-end takeoff quality, and turn production failures into new test cases and model improvements
Build visual overlays and debugging tools that make it easy to see what the system detected, measured, and missed
Partner with construction estimators, product, and engineering to translate real-world estimating workflows into technical solutions, and evaluate new CV/multimodal models where they materially improve accuracy or simplify the system
Skills and Attributes We're Looking For
Bachelor's degree with 3+ years of experience in computer vision, machine learning, applied AI, or related engineering roles; MS/PhD with a focus in computer vision preferred
Strong experience building production computer vision systems, not just research prototypes
Deep knowledge of object detection, segmentation, image processing, and geometric reasoning (coordinate systems, transformations, polygons, spatial relationships)
Strong Python experience with CV/ML frameworks such as PyTorch, OpenCV, YOLO, Detectron2, or similar
Experience with multimodal vision-language models, and judgment for where foundation models outperform - or underperform - traditional CV approaches
Experience processing complex documents, diagrams, engineering drawings, PDFs, or other spatial/visual documents, ideally combining OCR with visual information
Experience designing datasets, labeling strategies, training pipelines, and evaluation frameworks
Strong debugging intuition - able to distinguish model, data, geometry, and pipeline problems, and optimize for real-world accuracy and consistency, not just benchmarks
Comfortable with ambiguous problems with no off-the-shelf solution; high ownership and high agency from experimentation through production
Bonus Points
Experience with architectural drawings, blueprints, CAD, BIM, construction documents, or takeoff software
Experience with vector PDF parsing, CAD formats, or computational geometry libraries
Experience with floor-plan understanding, document AI, geospatial imagery, or other precise spatial-reasoning applications
Experience building human-in-the-loop ML systems where user corrections improve future model performance
Background in construction tech or prior startup experience
Our Values
Act like an owner
Strive for excellence
Communicate openly and honestly
Lead with data
Succeed in work and life
Why You'll Love Working Here
Work on a technically difficult computer vision problem with immediate real-world impact
Own a core part of KonstructIQ's AI platform and product differentiation
Work with a growing dataset of real construction plans, takeoffs, estimates, and estimator feedback
See your models used directly by contractors to bid and execute real construction projects
Small team, high ownership, and the ability to shape the technical architecture from the ground up
Competitive salary and meaningful equity
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Worksite address
los altos, CA, 94024, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.