Applied Machine Learning Scientist
@ Chloris Geospatial

As a Machine Learning Scientist, you will apply your expertise in machine learning to build operational, scalable models that drive our commercial products, solving complex problems and integrating data from multiple sources.

You will use geospatial analytics and machine learning to build operational models that are the foundation of our commercial products. This position will report directly to the Chief Science Officer.

Responsibilities include:

• Develop and implement advanced machine learning models that map ecosystem properties (land cover, carbon density, biodiversity, etc.) and changes therein.
• Collaborate with a team of geospatial and remote sensing experts.
• Collaborate with software engineers to operationalize models you develop in a production environment.
• Create tools for model assessment and verification using robust statistical methods.
• Create tools that create compelling visualizations of model results.
• Deploy models in operational environments and support their ongoing performance evaluation and optimization.