Senior Geospatial Machine Learning Engineer

📋 Description Design, develop, and improve ML solutions using geospatial data. Develop new geospatial intelligence products with Python geospatial libs. Lead technical projects from planning to delivery. Work with satellite imagery, raster/vector data, and geospatial workflows. Build tools to evaluate model performance and product impact. Collaborate across data engineering, product, platform, and delivery teams. 🎯 Requirements 8–10+ years in ML/geospatial engineering or related field. Strong Python with GDAL, Rasterio, Shapely, Fiona, GeoPandas. NumPy, SciPy, scikit-learn, Pandas experience. Deep learning with PyTorch and/or TensorFlow. Experience with satellite/aerial imagery, raster/vector data processing. Workflow orchestration tools like Dagster. 🎁 Benefits Fully remote work environment. Impactful climate tech projects using AI and satellite data. Opportunity to influence technical direction and product development. Collaboration with a diverse international team. Exposure to cutting-edge ML and geospatial tech. Inclusive culture focused on solving meaningful problems.