Senior Geospatial Machine Learning Engineer

📋 Description Design, develop, and improve ML solutions using geospatial data for environmental intelligence Develop geospatial products with Python geospatial libs, ML, and DL techniques Lead technical projects from planning to delivery and stakeholder communication Collaborate with data engineering, product, platform, and delivery teams Build tools to evaluate model performance and data-driven prioritization Communicate complex concepts to technical and non-technical audiences 🎯 Requirements 8–10+ years in ML/geospatial engineering, remote sensing, or related field Strong Python with GDAL, Rasterio, Shapely, Fiona, GeoPandas NumPy, SciPy, scikit-learn, Pandas experience Deep learning with PyTorch or TensorFlow Experience with satellite/aerial imagery and geospatial data processing Dagster or similar workflow orchestration tools 🎁 Benefits Fully remote work across eligible locations Impactful climate tech projects using AI and satellite data Opportunity to influence technical direction and product development Collaboration with an international engineering and scientific team Exposure to cutting-edge ML, geospatial tech, and real-world apps Inclusive culture focused on meaningful tech work