Geospatial Solution Analyst - Machine Learning

Who We AreFounded in 1994, Surveying And Mapping, LLC (SAM) is a nationwide leader in geospatial and construction-phase solutions. With more than 50 offices and 1,600 professionals, we deliver the scale, technology, and expertise needed to support projects of any size. SAM streamlines project delivery through a single, coordinated team, offering in-house capabilities across land surveying, aerial mapping, subsurface utility engineering (SUE), utility coordination (UC), GIS, BIM, and construction engineering inspection (CEI).By combining advanced technology, digital workflows, and decades of experience, we provide accurate, actionable data that helps clients move critical infrastructure projects forward with confidence. At SAM, you’ll be part of a team that values innovation, growth, and the opportunity to make a tangible impact on the built environment.Your Impact at SAMWe are seeking a Geospatial Solutions Analyst specializing in machine learning and artificial intelligence to develop advanced solutions for extracting, classifying, and analyzing information from geospatial data. This role will focus on applying machine learning, deep learning, and computer vision techniques to lidar point clouds, aerial imagery, elevation data, and other large geospatial datasets.The successful candidate will work closely with geospatial analysts, software developers, and project teams to translate complex production requirements into accurate, scalable, and repeatable analytical solutions. This position requires a combination of geospatial expertise, applied machine learning experience, and the ability to move models from experimentation into operational production workflows.Design, develop, train, and evaluate machine learning and deep learning models for geospatial data analysisDevelop automated methods for feature extraction, classification, segmentation, object detection, and change detectionWork with lidar point clouds, aerial imagery, elevation models, and other raster and vector geospatial datasetsPrepare, organize, and validate training, testing, and reference datasetsPerform feature engineering and develop data-processing workflows that support model training and inferenceEvaluate model accuracy, generalization, uncertainty, and production readiness using appropriate quantitative and spatial validation methodsOptimize models and inference workflows for large datasets and production-scale processingIntegrate machine learning models into repeatable geospatial production workflows and internal software systemsResearch and evaluate emerging machine learning, computer vision, and geospatial AI technologiesCollaborate with subject-matter experts and production teams to understand operational requirements and identify opportunities for automationDocument model designs, datasets, assumptions, performance results, and implementation proceduresSupport the continued improvement, monitoring, and retraining of deployed modelsWhat You Bring to SAMBachelor’s degree in Geographic Information Science, Geography, Remote Sensing, Computer Science, Data Science, Engineering, or a related fieldThree to five years of professional experience involving machine learning, geospatial analysis, remote sensing, computer vision, or a related technical disciplineDemonstrated experience developing and evaluating machine learning or deep learning modelsProficiency in Python and commonly used data science and machine learning librariesExperience working with geospatial data, including raster, vector, imagery, elevation, or point-cloud datasetsUnderstanding of supervised and unsupervised learning, model validation, feature engineering, data augmentation, and performance evaluationExperience preparing and managing training, validation, and testing datasetsStrong understanding of coordinate systems, spatial data formats, data quality, and geospatial analysis conceptsAbility to interpret model results spatially and communicate findings to technical and nontechnical stakeholdersFamiliarity with version control systems such as GitStrong analytical, problem-solving, documentation, and communication skills Preferred SkillsExperience applying machine learning or deep learning to lidar, aerial imagery, satellite imagery, or other remotely sensed dataExperience with point-cloud classification, image segmentation, object detection, feature extraction, or change detectionExperience with machine learning frameworks such as PyTorch, TensorFlow, Keras, or scikit-learnFamiliarity with geospatial libraries and platforms such as GDAL, PDAL, Rasterio, GeoPandas, ArcGIS Pro, ArcPy, or similar technologiesExperience working with convolutional neural networks, transformer-based models, multimodal models, or other modern computer vision architecturesExperience processing large datasets using parallel, distributed, cloud, or GPU-accelerated computingExperience deploying models into operational or production environmentsFamiliarity with MLOps practices, including experiment tracking, model versioning, reproducibility, monitoring, and retrainingExperience with PostgreSQL, PostGIS, SQL, or other spatial data-management technologiesGraduate-level education or research experience in machine learning, remote sensing, computer vision, geomatics, or a related disciplineExperience working in a consulting, engineering, surveying, mapping, or geospatial production environmentOur PerksHealth and Wellness Benefits: BlueCross BlueShield health insurance coverage begins the month after your hire date, with dental plans available and free vision coverage for employees, company-paid premiums for Long-term disability/Life Insurance (with HSA + FSA plans), SAM Cares program focused on holistic well-beingFinancial Benefits: Employee Referral Rewards Program of $1K, $2,500 or $5K, Fidelity retirement plans with a 5% company match, tuition reimbursement, optional cellphone stipendWork-Life Balance: Paid time off including vacation/sick/holidays, parental leave to support familiesProfessional Development: Customized career development plan for licensing and certifications, Project Manager Business Academy, CAD Training Program, Individual Development Plans/Career Check-Ins, SAM WINS - our initiative for women-focused leadership and development, Milestone Anniversary Recognition, SAMbassador mentorship programPerks and Discounts: Access to “Perks at Work” for discounts on wellness + travel + leisure and everyday purchases, company-sponsored events, free office snacksCulture and Awards/Achievements: SAM Named 2026 Top Workplace USA for the fourth Year; 2026 SAM Ranks No. 92 on ENR Top 500 Design Firms