Senior Geospatial Machine Learning Engineer

📋 Description

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

🎯 Requirements

• 8–10+ years of experience in ML engineering, geospatial engineering, remote sensing, or related
• Strong Python with geospatial libraries such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
• Experience with NumPy, SciPy, scikit-learn, and Pandas.
• Practical experience developing deep learning solutions with PyTorch and/or TensorFlow.
• Strong understanding of satellite imagery, aerial imagery, and geospatial raster/vector data
• Experience with workflow orchestration tools (e.g., Dagster or similar).

🎁 Benefits

• Fully remote work environment with flexible locations.
• Opportunity to work on impactful climate technology projects using AI and satellite data.
• Influence technical direction, processes, and product development in a growing org.
• Collaborate with a diverse international team across engineering, product, design, and platform.
• Exposure to cutting-edge ML, geospatial tech, and real-world applications.
• Inclusive culture focused on solving meaningful problems through technology and growth