Senior Geospatial Machine Learning Engineer

📋 Description

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

🎯 Requirements

• 5+ years in ML/DS with production ML/DL experience.
• Proven CV/deep learning with satellite imagery.
• Strong Python and geospatial libraries (rasterio, geopandas, shapely, GDAL).
• Geospatial data processing and analysis knowledge.
• Experience with PyTorch, TensorFlow, scikit-learn, etc.
• Data pipelines with Dagster, Airflow, dbt, or equivalents.

🎁 Benefits

• Fully remote working environment.
• Work on climate action, wildfire prevention, grid resilience.
• Meaningful ML product ownership and project leadership.
• Distributed team across Europe and the Americas.
• Exposure to satellite imagery, geospatial data, CV, large-scale ML.
• Challenging technical problems with real-world impact.