Senior Geospatial Machine Learning Engineer

📋 Description Design, develop, and improve ML solutions using geospatial data for environmental intelligence Develop geospatial intelligence products with Python-based libs, ML, and DL techniques. Improve solutions via data exploration, model optimization, debugging, and performance tuning. Work with satellite/aerial imagery, raster/vector data, and geospatial workflows to solve 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 of experience in ML engineering, geospatial engineering, remote sensing, or related Strong Python with geospatial libraries such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas. Experience with NumPy, SciPy, scikit-learn, and Pandas. Practical experience developing deep learning solutions with PyTorch and/or TensorFlow. Strong understanding of satellite imagery, aerial imagery, and geospatial raster/vector data Experience with workflow orchestration tools (e.g., Dagster or similar). 🎁 Benefits Fully remote work environment with flexible locations. Opportunity to work on impactful climate technology projects using AI and satellite data. Influence technical direction, processes, and product development in a growing org. Collaborate with a diverse international team across engineering, product, design, and platform. Exposure to cutting-edge ML, geospatial tech, and real-world applications. Inclusive culture focused on solving meaningful problems through technology and growth