Senior Geospatial Machine Learning Engineer

📋 Description

• Develop and deploy vegetation intelligence products with ML/DL, computer vision, geospatial Python
• Explore geospatial datasets to improve models and troubleshoot production issues
• Maintain and enhance vegetation modeling for accuracy, reliability, and impact
• Lead end-to-end technical projects from planning to delivery
• Build measurement frameworks and performance metrics for data-driven decisions
• Monitor production models using observability and debugging tools

🎯 Requirements

• 5+ years in ML/DS or related role with production ML/deep learning experience
• Proven CV/deep learning with satellite or aerial imagery
• Strong Python and geospatial libs (rasterio, geopandas, shapely, GDAL)
• Understanding geospatial data structures, formats, processing workflows
• Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Data pipelines experience with Dagster, Airflow, dbt, etc.

🎁 Benefits

• Fully remote working environment
• Impactful climate action projects with real-world infrastructure benefits
• Ownership of ML products from concept to production
• Collaboration with distributed teams across Europe and the Americas
• Exposure to satellite imagery, geospatial data, CV, and large-scale ML systems
• Challenging technical projects with meaningful impact