Senior Geospatial Machine Learning Engineer
Tasks
- Apply observability monitoring and alerting to production systems
- Build model evaluation tooling and performance metrics
- Develop and deploy vegetation intelligence products
- Explore and optimize geospatial datasets
- Influence data pipelines and platform architecture
- Integrate geospatial ML outputs into customer solutions
- Lead technical projects end-to-end
- Maintain and enhance vegetation modeling products
- Monitor production models and debug performance issues
- Use QGIS to analyze and visualize data
- Use orchestration and workflow tools for model workflows
Perks/Benefits
- Direct application to wildfire prevention and grid resilience
- Distributed team collaboration
- Fully remote work environment
- High impact climate technology work
- Meaningful project ownership
Skills/Tech-stack
Aerial Imagery | Airflow | Computer Vision | DBT | Dagster | Data Processing | Deep learning | GDAL | Geopandas | Geospatial Data | Geospatial Data Processing | Grafana | Hyperspectral | Machine Learning | Multispectral | Prometheus | PyTorch | Python | QGIS | Rasterio | Satellite imagery | Scikit-learn | Sentry | Shapely | TensorFlow
Education
N/A
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