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About the Role

We are hiring a Senior Computer Vision Engineer to improve our computer vision system for construction documents. This role focuses on detection and segmentation quality, geometric accuracy, and production-grade pipelines that work reliably with messy real-world PDFs and drawings.

Responsibilities

• Design, build, and improve end-to-end detection and segmentation pipelines for document images.
• Improve document ingestion for PDFs and other unstructured files, including parsing, rendering, and handling of multi-page and multi-view content.
• Increase model accuracy, boundary and geometric quality, and overall reliability of predictions for downstream use.
• Integrate modern detection and segmentation models into production workflows and build the post-processing that turns model output into structured, usable geometry.
• Define evaluation metrics, investigate failure cases, and drive continuous quality improvements.
• Optimize latency, reliability, and cost across the inference and post-processing stack.
• Own training infrastructure, dataset curation, annotation quality, and continuous-improvement loops.
• Make architectural decisions and own system quality end to end.

Requirements

• Experience building computer vision systems: detection, segmentation, or structured geometry extraction, used high volume in production.
• Experience working with messy, real-world image data or large unstructured visual datasets.
• Strong understanding of detection and segmentation tradeoffs, including model architecture choices, training data design, and post-processing.
• Ability to measure system performance with evaluation, testing, and production metrics.
• Ability to explain failure modes clearly and improve systems through debugging, dataset work, and iteration.
• Experience with multimodal models (vision-language models, document AI systems).
• Understanding of grounding — linking model outputs to source data or coordinates.
• Backend engineering experience, including APIs, async processing, and scalable GPU services.
• Experience with polygon or mask post-processing, geometric regularization, or CAD-style structured output.
• Experience with layout-aware document processing, PDF vector extraction, or combining raster and vector signals.
• Background in document-heavy CV domains such as construction, real estate, medical imaging, geospatial, or similar workflows.
• Experience optimizing inference cost and latency at scale.
• Familiarity with open-source detection / segmentation ecosystems, training infrastructure, or model serving.

Skills

• Computer Vision
• Detection
• Segmentation
• Structured Geometry Extraction
• Production Systems
• Image Data
• Unstructured Visual Datasets
• Model Architecture
• Training Data Design
• Post-processing
• System Performance Measurement
• Evaluation Metrics
• Testing
• Production Metrics
• Failure Mode Analysis
• Debugging
• Dataset Work
• Iteration
• Multimodal Models
• Vision-Language Models
• Document AI Systems
• Grounding
• Backend Engineering
• APIs
• Async Processing
• Scalable GPU Services
• Polygon Post-processing
• Mask Post-processing
• Geometric Regularization
• CAD-style Structured Output
• Layout-aware Document Processing
• PDF Vector Extraction
• Raster and Vector Signal Combination
• Construction CV
• Real Estate CV
• Medical Imaging CV
• Geospatial CV
• Inference Cost Optimization
• Latency Optimization
• Open-source Detection Ecosystems
• Open-source Segmentation Ecosystems
• Training Infrastructure
• Model Serving

Location

• Remote

Work Type

• Remote-first
• Full-time

Experience Level

• Senior

Salary/Compensations

• $250k-280k CAD

Benefits

• Health insurance (medical, dental & vision)
• Life insurance
• 401(k)
• Paid time off

About the Company

• STACK is a leading provider of cloud-based construction estimating and takeoff software solutions, committed to helping businesses transform through innovative solutions.
• We pride ourselves on fostering a collaborative, dynamic environment where team members have the opportunity to grow and make a real impact.
• At STACK, our values shape how we work, collaborate, and serve our customers: Radical Honesty, Customer Obsession, Move With Purpose, Grow Together.

Equal Opportunity

• We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
• We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.