Senior Geospatial Machine Learning Engineer
CleraIndustrial Electrification company
RemoteSenior
Data & AI
About the role
TL;DR
Develop and improve ML solutions for analyzing geospatial data and satellite imagery.
- •Join a mission-driven, AI-powered climate tech company using advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation risks before they become critical.
- •As a Senior Geospatial Machine Learning Engineer on the Vegetation Modeling team, you'll develop and improve ML solutions that analyze geospatial data and satellite imagery at scale
- •making a direct impact on grid resilience and climate action.
- •The team spans the Americas and Europe, and this role is fully remote.
- •Key Responsibilities Develop new vegetation intelligence products using geospatial Python libraries, machine learning, and deep learning techniques.
- •Maintain and improve existing products through data exploration, model optimization, and debugging.
- •Lead projects end-to-end and communicate the value of your work to cross-functional stakeholders.
- •Build measurement frameworks and tooling to evaluate model performance.
- •Requirements 5+ years of experience building and deploying production ML/deep learning models.
- •Demonstrated experience building computer vision or deep learning models on satellite or aerial imagery.
- •Proficiency with geospatial Python libraries (e.g., rasterio, geopandas, shapely, GDAL) and geospatial data formats.
Required skills
PythonTensorFlowPyTorchscikit-learnComputer VisionDagster
Nice-to-have skills
Grafana
Domain expertise
cleantechclimatetech
Tech stack
PythonDagsterGrafanaTensorFlowPyTorchscikit-learn