Senior Geospatial Machine Learning Engineer
Tasks
- Analyze data and manage workflows with monitoring tools
- Apply ML to geospatial environmental problems
- Communicate model performance and technical findings
- Develop and deploy vegetation intelligence products
- Develop evaluation tooling and performance metrics
- Explore geospatial datasets
- Influence data pipelines and processing workflows
- 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
- Optimize and troubleshoot production machine learning models
Perks/Benefits
- Climate impact projects
- Distributed team collaboration
- Fully remote work
- Ownership of machine learning products
- Project leadership opportunities
Skills/Tech-stack
Airflow | Computer Vision | DBT | Dagster | Data Pipelines | Data Processing | Deep learning | GDAL | Geopandas | Geospatial Data | Grafana | Hyperspectral Imaging | Machine Learning | Model Evaluation | Model Monitoring | Multispectral imaging | Observability | Prometheus | PyTorch | Python | QGIS | Raster data | Raster data processing | Rasterio | Scikit-learn | Sentry | Shapely | TensorFlow
Education
N/A
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