Senior Geospatial Machine Learning Engineer

📋 Description

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

🎯 Requirements

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

🎁 Benefits

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