Senior Geospatial Machine Learning Engineer

📋 Description Design, develop, and improve ML solutions leveraging geospatial data for environmental intelligence Develop geospatial intelligence products using Python-based libraries, ML, and DL techniques. Improve existing solutions via data exploration, model optimization, debugging, and performance Work with satellite and aerial imagery, raster/vector datasets, and geospatial workflows. Lead technical projects from planning to delivery and stakeholder communication. Build tools to evaluate model performance, product impact, and data-driven prioritization. 🎯 Requirements 8–10+ years in ML engineering, geospatial engineering, remote sensing, or related field. Strong Python with geospatial libraries: GDAL, Rasterio, Shapely, Fiona, GeoPandas. Experience with NumPy, SciPy, scikit-learn, Pandas. Practical DL experience using PyTorch and/or TensorFlow. Strong understanding of satellite/aerial imagery and geospatial data processing. Experience with Dagster or similar workflow orchestration tools. 🎁 Benefits Fully remote work environment across eligible locations. Opportunity to work on climate tech projects using AI and satellite data. Influence technical direction, processes, and product development in a growing organization. Collaboration with an international team across engineering, product, design, and platform. Exposure to cutting-edge ML and geospatial tech with real-world applications. Inclusive culture and opportunities for professional growth in a mission-driven environment.