Remote Geospatial ML Scientist: Land-Use & Supply Chains

NLP PEOPLE is looking for a Machine Learning Scientist to develop models that convert satellite and radar observations into actionable insights on commodity supply chains. The role involves working on agricultural mapping, biomass estimation, and contributing to the entire model lifecycle.

Applicants should have 3+ years of experience in machine learning, proficiency in Python-based geospatial tools, and a strong understanding of remote sensing data. The position offers an exciting opportunity to make a significant impact in the field.