Senior Geospatial Machine Learning Engineer

📋 Description

• Design, develop, and improve ML solutions using geospatial data for environmental intelligence
• Develop geospatial products with Python geospatial libs, ML, and DL techniques
• Lead technical projects from planning to delivery and stakeholder communication
• Collaborate with data engineering, product, platform, and delivery teams
• Build tools to evaluate model performance and data-driven prioritization
• Communicate complex concepts to technical and non-technical audiences

🎯 Requirements

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

🎁 Benefits

• Fully remote work across eligible locations
• Impactful climate tech projects using AI and satellite data
• Opportunity to influence technical direction and product development
• Collaboration with an international engineering and scientific team
• Exposure to cutting-edge ML, geospatial tech, and real-world apps
• Inclusive culture focused on meaningful tech work