Senior Geospatial Machine Learning Engineer
Tasks
- Apply computer vision to satellite imagery
- Build evaluation tooling for model quality
- Collaborate with product teams for geospatial ML integration
- Define evaluation metrics and measurement frameworks
- Develop production machine learning models
- Develop vegetation intelligence products
- Explore geospatial datasets for model improvement
- Influence data pipelines and processing workflows
- Lead technical projects end-to-end
- Maintain and enhance vegetation modeling products
- Monitor production models and investigate performance issues
- Optimize and troubleshoot production machine learning solutions
Perks/Benefits
- Fully Remote Working Environment
- Meaningful ownership of machine learning products
- Production ML systems focus
- Remote cross time zone collaboration
Skills/Tech-stack
Airflow | Computer Vision | DBT | Dagster | Data Pipelines | Data Processing | Deep learning | GDAL | Geopandas | Geospatial Data | Geospatial Data Processing | Grafana | Hyperspectral Satellite Imagery | Large Scale Data | Large-scale | Machine Learning | Model Evaluation | Model Monitoring | Multispectral satellite imagery | Observability | Prometheus | PyTorch | Python | QGIS | Rasterio | Satellite imagery | Scikit-learn | Sentry | Shapely | TensorFlow
Education
N/A
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