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Senior Geospatial Machine Learning Engineer - Remote Eligible

Develop new algorithms to analyze satellite imagery for vegetation impact on wildfire risk.
Remote
Senior
1 month ago
Overstory

Overstory

Real-time vegetation intelligence, at scale

✨ About The Role

- The role involves developing new vegetation intelligence products using standard geospatial Python libraries and machine learning tools. - Responsibilities include supporting existing products through data exploration, model improvements, and bug fixes, particularly using QGIS, Dagster, Sentry, and Grafana. - The candidate will represent the team by leading projects and initiatives, ensuring clear communication of the value of contributions to stakeholders. - Building tooling and processes to measure the value and performance of contributions is a key aspect of the job. - The position requires collaboration with cross-functional teams, including product, design, engineering, and platform members throughout the scientific product lifecycle.

âš¡ Requirements

- At least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer is required. - Advanced scientific Python experience, including proficiency in libraries such as numpy, scipy, scikit-learn, and pandas, is essential. - Candidates should have experience with geospatial or satellite data, utilizing tools like gdal, rasterio, shapely, fiona, geopandas, and QGIS. - Familiarity with deep learning algorithms, particularly in the context of geospatial data, and experience with frameworks such as pytorch and tensorflow are important. - A passion for climate-related issues and a desire to work in a fast-paced, remote-first environment are crucial for success in this role.
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Senior Geospatial Machine Learning Engineer - Remote Eligible
Remote
Engineering
About Overstory
Real-time vegetation intelligence, at scale