Senior Geospatial Machine Learning Engineer
| Company | Overstory |
|---|---|
| Location | United States |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- At least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer
- Advanced scientific Python experience, including numpy, scipy, scikit-learn, pandas
- Experience with geospatial or satellite data, and tooling such as gdal, rasterio, shapely, fiona, geopandas, QGIS
- Experience with deep learning algorithms, especially as applied to geospatial data, and tooling such as pytorch, tensorflow
- Experience leading small teams organized around projects or initiatives
- Passionate about climate
- Enjoy working in a remote first, fast-moving environment
- You are based in the US ET time zone
Responsibilities
- Develop new vegetation intelligence products using standard geospatial Python libraries, as well as machine learning and deep learning tools
- Support existing products through data exploration, model improvements, and bugfixes, especially using QGIS, Dagster, Sentry, and Grafana
- Represent the team by leading projects and initiatives, being responsible for planning, execution, delivery, and ensuring the value of our contributions is clear to other stakeholders throughout the organization
- Build the tooling and processes necessary to measure the value and performance of our contributions, and help to make data-driven decisions about where we can have the greatest impact
Preferred Qualifications
- Experience at early-stage startups and remote-first organizations
- An understanding of the challenges of working with geospatial data at scale, as well as possible solutions to those challenges
- Deep industry experience in a unique geospatial or forest science domain, such as working with SAR imagery or developing and supporting wildfire products