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Accountabilities:

  • Develop new geospatial intelligence products using Python-based geospatial libraries, machine learning, and deep learning techniques.
  • Improve existing solutions through data exploration, model optimization, debugging, and performance enhancements.
  • Collaborate with data engineering, product, platform, and delivery teams throughout the full machine learning product lifecycle.

Requirements:

  • 8–10+ years of experience in machine learning engineering, geospatial engineering, remote sensing, or a closely related technical field.
  • Strong Python programming skills with hands-on experience using geospatial libraries such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
  • Practical experience developing deep learning solutions using frameworks such as PyTorch and/or TensorFlow.

Benefits:

  • Fully remote work environment with flexibility across eligible locations.
  • Opportunity to work on impactful climate technology projects using AI and satellite data.
  • Collaboration with a diverse international team across engineering, product, design, and platform functions.

Partner Company

They develop advanced AI solutions that transform satellite and environmental data into actionable insights for critical infrastructure. They are a fast-growing company with an inclusive, mission-driven culture focused on climate technology.

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