Senior Geospatial Machine Learning Engineer

📋 Description

• Develop and deploy vegetation intelligence products with ML, CV, geospatial Python
• Explore geospatial datasets, improve models, troubleshoot production
• Maintain vegetation modeling products for accuracy and scalability
• Lead end-to-end technical projects from planning to delivery
• Build evaluation tools and metrics for data-driven decisions
• Monitor models using observability tools and fix issues

🎯 Requirements

• 5+ years in ML/DS role with production models
• CV models with satellite/aerial imagery experience
• Python and geospatial libraries (rasterio, geopandas, shapely, GDAL)
• Geospatial data structures and workflows knowledge
• ML/DL frameworks (PyTorch, TensorFlow, scikit-learn)
• Data pipelines with Dagster, Airflow, dbt or similar

🎁 Benefits

• Fully remote working environment
• Climate action, wildfire prevention, grid resilience work
• Ownership of ML products and projects from concept to production
• Distributed team across Europe and the Americas
• Exposure to satellite imagery and large-scale ML systems
• High-impact technical challenges