Senior Geospatial Machine Learning Engineer

📋 Description

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

🎯 Requirements

• 5+ years in ML/DS roles with production ML/DL experience.
• Experience developing CV/deep learning models using satellite or aerial imagery.
• Strong Python proficiency and geospatial libraries (rasterio, geopandas, shapely, GDAL).
• Knowledge of geospatial data structures, formats, processing workflows, and analysis techniques.
• Experience with ML frameworks like PyTorch, TensorFlow, scikit-learn.
• Experience designing/maintaining data pipelines with Dagster, Airflow, dbt, etc.

🎁 Benefits

• Fully remote working environment.
• Work on climate action, wildfire prevention, and grid resilience tech.
• Ownership of ML products and end-to-end project leadership.
• Collaborate with distributed teams across Europe and the Americas.
• Exposure to satellite imagery, geospatial data, CV, and large-scale ML systems.
• Challenging, real-world environmental/infrastructure problems.