Senior Geospatial Machine Learning Engineer

📋 Description

• Design, develop, and improve ML solutions using geospatial data.
• Develop new geospatial intelligence products with Python geospatial libs.
• Lead technical projects from planning to delivery.
• Work with satellite imagery, raster/vector data, and geospatial workflows.
• Build tools to evaluate model performance and product impact.
• Collaborate across data engineering, product, platform, and delivery teams.

🎯 Requirements

• 8–10+ years in ML/geospatial engineering or related field.
• Strong Python with GDAL, Rasterio, Shapely, Fiona, GeoPandas.
• NumPy, SciPy, scikit-learn, Pandas experience.
• Deep learning with PyTorch and/or TensorFlow.
• Experience with satellite/aerial imagery, raster/vector data processing.
• Workflow orchestration tools like Dagster.

🎁 Benefits

• Fully remote work environment.
• Impactful climate tech projects using AI and satellite data.
• Opportunity to influence technical direction and product development.
• Collaboration with a diverse international team.
• Exposure to cutting-edge ML and geospatial tech.
• Inclusive culture focused on solving meaningful problems.