Senior Geospatial Machine Learning Engineer

📋 Description

• Design, develop, and improve ML solutions using geospatial data for environmental intelligence.
• Develop new geospatial products with Python geospatial libs, ML, and deep learning.
• Improve existing solutions via data exploration, model optimization, debugging, performance.
• Work with satellite/aerial imagery, raster/vector data, geospatial workflows.
• Lead technical projects from planning to delivery and stakeholder communication.
• Build tools to evaluate model performance, product impact, data-driven prioritization.

🎯 Requirements

• 8–10+ years in ML engineering, geospatial engineering, remote sensing, or related.
• Strong Python with geospatial libs: GDAL, Rasterio, Shapely, Fiona, GeoPandas.
• NumPy, SciPy, scikit-learn, Pandas experience.
• Deep learning with PyTorch and/or TensorFlow.
• Satellite imagery, geospatial raster/vector data processing.
• Dagster or similar workflow orchestration experience.

🎁 Benefits

• Fully remote work environment with eligible locations.
• Impactful climate tech projects using AI and satellite data.
• Influence technical direction, processes, and product development.
• Collaborate with international team across engineering, product, design, and platform.
• Exposure to cutting-edge ML geospatial technologies.
• Inclusive culture with growth opportunities.