AI-Driven Remote Sensing Engineer

Title: AI-Driven Remote Sensing Engineer
Location: Arlington, VA (On-site with potential hybrid flexibility)
Employment Type: Full-Time

About the Role
A pioneering technology firm at the crossroads of artificial intelligence and geospatial analysis is seeking an AI-Driven Remote Sensing Engineer to elevate its data interpretation capabilities for mission-critical projects. This role is perfect for someone passionate about transforming raw satellite and aerial imagery into meaningful insights for applications in environmental intelligence, defense strategy, and smart infrastructure development. Leveraging advanced computer vision and deep learning methodologies, you’ll contribute to breakthrough innovations that address some of the world’s most complex challenges.

Key Responsibilities

• Design and implement deep learning models to analyze remote sensing imagery for tasks such as object detection, semantic segmentation, and environmental change tracking
• Process a variety of imaging modalities including multispectral, hyperspectral, EO/IR, and synthetic aperture radar (SAR) datasets
• Create scalable pipelines for data ingestion, preprocessing, labeling, and model training tailored to satellite and aerial inputs
• Integrate geospatial data sources with AI-driven outputs to deliver operational insights across industries
• Collaborate with GIS specialists, data scientists, and application developers in the design and deployment of complete geospatial AI solutions
• Support field evaluations, model tuning, and optimization for real-world performance

Qualifications

• Bachelor’s, Master’s, or Doctorate in Computer Science, Remote Sensing, AI, or a related field
• Minimum 3 years of experience applying deep learning models to geospatial datasets
• Hands-on experience with Python and deep learning libraries such as PyTorch, TensorFlow, or Keras
• In-depth knowledge of image segmentation and detection models (e.g., U-Net, DeepLab, Mask R-CNN)
• Experience using geospatial libraries and data formats like GDAL, rasterio, GeoTIFF, or QGIS

Preferred Skills

• Experience with GIS tools and spatial databases (e.g., PostGIS, ArcGIS)
• Background supporting national security, defense, or environmental programs
• Familiarity with cloud-based geospatial platforms (e.g., AWS SageMaker, Google Earth Engine)
• Eligibility for security clearance highly desirable

Why You Should Apply

• Tackle high-impact challenges using cutting-edge geospatial AI technologies
• Collaborate in an interdisciplinary environment with real-world deployment opportunities
• Gain access to proprietary datasets, modern development infrastructure, and mentorship from top-tier scientists and engineers
• Competitive compensation, professional development resources, and strong career advancement potential