Senior Geospatial Machine Learning Engineer

📋 Description

• Senior Geospatial Machine Learning Engineer to design, develop, and improve ML solutions that
• Lead technical projects from planning and experimentation through implementation, delivery, and
• Work with satellite and aerial imagery, raster and vector datasets, geospatial workflows to solve
• Collaborate with data engineering, product, platform, and delivery teams through full ML product
• Contribute to technical direction, engineering practices, and team culture in a fast-growing
• Communicate complex technical concepts clearly to technical and non-technical stakeholders.

🎯 Requirements

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

🎁 Benefits

• Fully remote work environment with flexibility across eligible 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.
• Collaboration 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 tech and professional growth in a