Benchmark Construction Technology Corp

Role Description We are seeking a detail-oriented Construction Estimator to join our AI-powered estimating business. This role involves using advanced AI tools (proprietary to the company) to generate precise material take-offs from building plans. - Read, interpret, and understand Structural blue-prints and US building codes. - Oversee all estimating outputs, including ownership of calculations, accuracy, and quality assurance. - Train offshore team members and develop training materials, processes, and systems. - Review complex or unusual plans and resolve technical issues escalated by the estimating team. - Identify opportunities to improve estimating processes, workflows, and quality standards. - Provide technical input to product development, including estimating workflows, material takeoffs, wall designs, and truss designs. - Respond to customer questions and resolve technical issues related to estimates and outputs. Qualifications - 10 Years plus experience in estimating for Framing, siding and Dry wall. - Experience with both multi family and single family projects. - Deep understanding of how truss quotes are done. - Willing to teach and help build a good product. Benefits - Competitive salary. - Comprehensive benefits (health, dental, vision). - Professional development budget (courses, conferences, research exploration). - High growth potential.

About the role You'll build the backend APIs and mathematical core of our design engine, developing optimisation models, geometric algorithms, and simulation systems that translate extracted plan information into physically valid, optimised 3D building structures — all while capturing the real-world constraints of residential construction and serving these models to our applications. Your work will power the engine that turns drawings into buildable designs. What you'll do - Build APIs and services to provide conduction design models to frontend applications using Python and FastAPI. - Design and implement optimization models using operations research techniques including constrained programming, linear programming, and mixed-integer programming (MIP) - Develop computational geometry systems that convert plan-derived data into structured 3D building representations - Build simulation and constraint systems that model real-world construction rules, structural relationships, and material layouts - Develop production-grade Python systems that solve large-scale optimization and geometric problems - Improve performance and scalability of heavy mathematical workloads through algorithm design, solver tuning, and profiling - Work closely with ML engineers and platform engineers to integrate optimization systems into the broader plan ingestion and design pipeline - Ensure mathematical systems are reliable, testable, maintainable, and production-ready Qualifications - 6+ years of experience developing mathematical or optimization systems in production environments - Expert Python programming skills with experience building complex numerical or algorithmic systems - Strong background in operations research, constrained optimization, linear programming, or mixed-integer programming - Strong understanding of algorithm design, computational complexity, and performance optimization - Experience implementing or working with computational geometry algorithms - Comfortable working in Linux environments and deploying production systems What Makes You a Great Fit - High agency: you take ownership of difficult systems and drive them to production - You enjoy translating messy real-world rules into clean mathematical formulations - You care deeply about performance, determinism, and correctness - You are comfortable operating independently in a fast-paced engineering environment - You communicate clearly and collaborate well with engineers across disciplines Bonus Points - Experience with OR solvers (Gurobi, CPLEX, SCIP, OR-Tools) - Background in computational geometry, geometric modeling, or spatial algorithms - Experience building large-scale optimization systems - Familiarity with performance optimization in numerical or simulation workloads - Familiarity with the construction, CAD, or manufacturing domains What We Offer - Competitive salary + meaningful equity - Comprehensive benefits (health, dental, vision) - Professional development budget (courses, conferences, research exploration) - Real-world optimization problems with direct impact - High growth potential

About the role You’ll own and expand our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation. What you'll do - Architect, build, and deploy ML systems for object detection, segmentation, document understanding, and information extraction from complex building plans - Drive R&D across computer vision and/or NLP as applied to construction documents and related data - Develop multi-modal approaches that combine vision with language features for document analysis (LLMs/NLP). Familiarity with different RAG methods is a plus - Mentor junior engineers and help raise the bar on execution, code quality, and decision-making - Ensure systems are reliable, maintainable, testable, and observable in production Qualifications - 8+ years of experience in Machine Learning Engineering, with deep focus in computer vision - Expert Python skills, with strong experience in PyTorch and FastAPI - Proven work with segmentation models, detection frameworks, and OCR/document pipelines - Strong image processing fundamentals (OpenCV, geometric transforms, preprocessing, etc.) - Comfortable in Linux; hands-on with Docker/containerization for deployment - Experience building and maintaining MLops infrastructure (e.g., ClearML, MLflow) - Ability to design scalable, high-performance ML systems (not just prototypes) - Strong problem-solving ability and comfort operating independently in a fast-paced environment What Makes You a Great Fit - High agency: you ship, iterate, and fix what’s broken—without waiting for permission - You’ve delivered ML systems end-to-end in production (data → model → deployment → iteration) - You’re a strong engineer who cares about getting better—trajectory matters here - You communicate clearly, especially with a remote and cross-cultural team - You’re gritty and genuinely enjoy solving hard problems Bonus Points - Experience building systems for document reading / understanding - Ambitious, driven, and opinionated about quality and craft - Experience with deep learning inference frameworks (e.g., TensorRT, PyTorch compile) and optimizing inference performance - You keep up with current ML/AI developments and can apply them pragmatically What We Offer - Competitive salary + meaningful equity - Comprehensive benefits (health, dental, vision) - Professional development budget (courses, conferences, research exploration) - Real-world ML problems with direct impact - High growth potential