Senior Geospatial Machine Learning Engineer
Tasks
- Analyze satellite and aerial imagery
- Build environmental intelligence products
- Collaborate across the machine learning product lifecycle
- Communicate technical concepts to stakeholders
- Develop geospatial machine learning solutions
- Evaluate model performance and impact
- Optimize and debug machine learning models
- Orchestrate machine learning workflows
- Process raster and vector datasets
Perks/Benefits
- Flexible work locations
- Fully remote
- Inclusive culture
- International team collaboration
- Mission-driven environment
- Professional growth
Skills/Tech-stack
Dagster | Data Exploration | Data Processing | Deep learning | Fiona | GDAL | Geopandas | Geospatial Data | Geospatial Data Processing | Grafana | Machine Learning | Model Debugging | Model Optimization | Model Performance Evaluation | Model performance | NumPy | Pandas | Performance Evaluation | PyTorch | Python | Raster data | Rasterio | Remote Sensing | Satellite imagery | SciPy | Scikit-learn | Sentry | Shapely | TensorFlow | Vector data | Workflow Orchestration
Education
N/A
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