Senior Geospatial Machine Learning Engineer

📋 Description

• Develop and deploy new geospatial intelligence products using Python, machine learning, deep
• Build and improve computer vision and ML models to analyze vegetation and geospatial patterns.
• Explore geospatial datasets, debug production issues, and optimize ML products.
• Work with geospatial tools like QGIS and Python geospatial libraries.
• Lead ML projects from planning to delivery and optimization.
• Build measurement frameworks, evaluation tooling, and performance metrics.

🎯 Requirements

• 5+ years of professional ML/DS experience building and deploying production models.
• Experience developing computer vision or DL models using satellite imagery.
• Strong Python proficiency and ML frameworks: PyTorch, TensorFlow, scikit-learn.
• Geospatial Python libraries: rasterio, GeoPandas, Shapely, GDAL, or equivalents.
• Experience with geospatial data formats and satellite imagery datasets.
• Production data pipelines and workflow orchestration with Dagster, Airflow, dbt, or similar.

🎁 Benefits

• Fully remote position based in Canada.
• Distributed team across the Americas and Europe.
• Opportunity to apply ML and satellite imagery to climate resilience and infrastructure challenges.
• High level of technical ownership across the full ML product lifecycle.
• Exposure to advanced geospatial, computer vision, deep learning, and production ML tech.
• Modern tech stack including Python, PyTorch, TensorFlow, GDAL, GeoPandas, QGIS, Dagster, Grafana