Senior Geospatial Machine Learning Engineer
Tasks
- Build computer vision models for satellite imagery
- Collaborate with data pipeline teams to influence ingestion workflows
- Create evaluation tooling and performance metrics
- Deploy production deep learning models
- Develop vegetation intelligence products using machine learning
- Integrate geospatial ML outputs into customer solutions
- Lead end to end technical projects from planning to evaluation
- Maintain and enhance existing vegetation modeling products
- Monitor production model performance
- Optimize machine learning solutions for accuracy and reliability
- Process large scale geospatial datasets
- Troubleshoot production model issues using observability tools
Perks/Benefits
- Climate technology impact
- Distributed team collaboration
- Fully remote environment
- High-impact technical challenges
- Ownership of machine learning products
Skills/Tech-stack
Aerial Imagery | Airflow | CI/CD | Computer Vision | DBT | Dagster | Data Pipelines | Data Processing | Data orchestration | Deep learning | GDAL | Geopandas | Geospatial Data | Geospatial Data Processing | Grafana | Hyperspectral Imaging | Machine Learning | Multispectral imaging | Prometheus | PyTorch | Python | QGIS | Rasterio | Satellite imagery | Scikit-learn | Sentry | Shapely | TensorFlow
Education
N/A
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