Senior Geospatial Machine Learning Engineer
Tasks
- Build and improve data pipelines and workflows
- Build computer vision models for geospatial imagery
- Collaborate with data ingestion and product delivery teams
- Create measurement frameworks and performance metrics
- Define model evaluation objectives and deliver evaluation results
- Deploy production machine learning models
- Develop vegetation intelligence products using machine learning and deep learning
- Implement observability monitoring and debugging
- Lead end-to-end technical projects
- Maintain and enhance vegetation modeling products
- Monitor production models and investigate issues
- Process large scale satellite and aerial imagery
Perks/Benefits
- Distributed team collaboration
- Fully remote work
- High-impact technical challenges
- Meaningful ownership of machine learning products
Skills/Tech-stack
Airflow | Computer Vision | DBT | Dagster | Data Pipelines | Debugging | Deep learning | GDAL | Geopandas | Geospatial Data | Geospatial Python | Grafana | Hyperspectral imagery | Machine Learning | Model Evaluation | Model Monitoring | Multispectral Imagery | Multispectral data | Prometheus | PyTorch | Python | QGIS | Rasterio | Scikit-learn | Sentry | Shapely | TensorFlow
Education
N/A
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