Senior Geospatial Machine Learning Engineer

📋 Description

• Develop and deploy vegetation intelligence products using ML/DL, computer vision, geospatial Python
• Explore geospatial datasets, optimize ML solutions, and troubleshoot production issues.
• Maintain vegetation modeling products for accuracy, reliability, and scalability.
• Lead end-to-end technical projects from planning to delivery.
• Develop evaluation tooling and metrics for data-driven model decisions.
• Monitor production models and troubleshoot performance with observability tools.

🎯 Requirements

• 5+ years in ML/DS roles with production ML/DL experience.
• Proven CV/deep learning with satellite or aerial imagery.
• Strong Python and geospatial libraries (rasterio, geopandas, shapely, GDAL).
• Knowledge of geospatial data structures and workflows.
• Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Data pipelines with Dagster, Airflow, dbt, or similar tooling.

🎁 Benefits

• Fully remote working environment.
• Work on climate action, wildfire prevention, and grid resilience tech.
• Own ML products and lead projects from concept to production.
• Global collaboration across Europe and the Americas.
• Exposure to satellite imagery, geospatial data and large-scale ML systems.
• Challenging, impactful real-world problems.