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