Senior Geospatial Machine Learning Engineer

📋 Description

• Develop and deploy vegetation intelligence products using ML, DL, CV, geospatial Python libs, and
• Explore geospatial datasets, improve models, optimize ML solutions, troubleshoot production issues.
• Maintain vegetation modeling products for accuracy, reliability, scalability, impact.
• Lead projects end-to-end from planning to delivery and evaluation.
• Develop measurement frameworks and performance metrics for model quality.
• Monitor production models with observability and debugging tools.

🎯 Requirements

• 5+ years exp as ML Engineer/DS or related role; production ML/DL experience.
• Proven CV/deep learning model exp using satellite/aerial imagery.
• Strong Python and geospatial Python libs (rasterio, geopandas, shapely, GDAL).
• Geospatial data structures and workflows knowledge.
• Experience with ML/DL frameworks: PyTorch, TensorFlow, scikit-learn.
• Data pipelines exp with Dagster, Airflow, dbt or similar.

🎁 Benefits

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