[Remote] Geospatial Solution Analyst - Machine Learning

Note: The job is a remote job and is open to candidates in USA. Surveying And Mapping, LLC (SAM) is a nationwide leader in geospatial and construction-phase solutions. They 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.

Responsibilities

• Design, develop, train, and evaluate machine learning and deep learning models for geospatial data analysis
• Develop automated methods for feature extraction, classification, segmentation, object detection, and change detection
• Work with lidar point clouds, aerial imagery, elevation models, and other raster and vector geospatial datasets
• Prepare, organize, and validate training, testing, and reference datasets
• Perform feature engineering and develop data-processing workflows that support model training and inference
• Evaluate model accuracy, generalization, uncertainty, and production readiness using appropriate quantitative and spatial validation methods
• Optimize models and inference workflows for large datasets and production-scale processing
• Integrate machine learning models into repeatable geospatial production workflows and internal software systems
• Research and evaluate emerging machine learning, computer vision, and geospatial AI technologies
• Collaborate with subject-matter experts and production teams to understand operational requirements and identify opportunities for automation
• Document model designs, datasets, assumptions, performance results, and implementation procedures
• Support the continued improvement, monitoring, and retraining of deployed models

Skills

• Bachelor's degree in Geographic Information Science, Geography, Remote Sensing, Computer Science, Data Science, Engineering, or a related field
• Three to five years of professional experience involving machine learning, geospatial analysis, remote sensing, computer vision, or a related technical discipline
• Demonstrated experience developing and evaluating machine learning or deep learning models
• Proficiency in Python and commonly used data science and machine learning libraries
• Experience working with geospatial data, including raster, vector, imagery, elevation, or point-cloud datasets
• Understanding of supervised and unsupervised learning, model validation, feature engineering, data augmentation, and performance evaluation
• Experience preparing and managing training, validation, and testing datasets
• Strong understanding of coordinate systems, spatial data formats, data quality, and geospatial analysis concepts
• Ability to interpret model results spatially and communicate findings to technical and nontechnical stakeholders
• Familiarity with version control systems such as Git
• Strong analytical, problem-solving, documentation, and communication skills
• Experience applying machine learning or deep learning to lidar, aerial imagery, satellite imagery, or other remotely sensed data
• Experience with point-cloud classification, image segmentation, object detection, feature extraction, or change detection
• Experience with machine learning frameworks such as PyTorch, TensorFlow, Keras, or scikit-learn
• Familiarity with geospatial libraries and platforms such as GDAL, PDAL, Rasterio, GeoPandas, ArcGIS Pro, ArcPy, or similar technologies
• Experience working with convolutional neural networks, transformer-based models, multimodal models, or other modern computer vision architectures
• Experience processing large datasets using parallel, distributed, cloud, or GPU-accelerated computing
• Experience deploying models into operational or production environments
• Familiarity with MLOps practices, including experiment tracking, model versioning, reproducibility, monitoring, and retraining
• Experience with PostgreSQL, PostGIS, SQL, or other spatial data-management technologies
• Graduate-level education or research experience in machine learning, remote sensing, computer vision, geomatics, or a related discipline
• Experience working in a consulting, engineering, surveying, mapping, or geospatial production environment

Benefits

• BlueCross BlueShield health insurance coverage begins the month after your hire date
• Dental plans available
• 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-being
• Employee Referral Rewards Program of $1K, $2,500 or $5K
• Fidelity retirement plans with a 5% company match
• Tuition reimbursement
• Optional cellphone stipend
• Paid time off including vacation/sick/holidays
• Parental leave to support families
• 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 program
• Access to “Perks at Work” for discounts on wellness + travel + leisure and everyday purchases
• Company-sponsored events
• Free office snacks
• SAM Named 2026 Top Workplace USA for the fourth Year
• 2026 SAM Ranks No. 92 on ENR Top 500 Design Firms

Company Overview