About the Role

Our client is seeking a highly skilled Remote Sensing Scientist with a PhD and strong expertise in machine learning and application development. This role focuses on delivering actionable intelligence on commodity crop production, leveraging cutting-edge geospatial technologies and advanced analytics.

Key Responsibilities

• Develop and implement remote sensing models for monitoring and forecasting commodity crop production globally.

• Translate the latest satellite machine learning research into operational models using large-scale geospatial datasets.

• Continue to publish research in top-tier geospatial and remote sensing journals.

• Provide technical expertise and insights to support agricultural intelligence initiatives.

• Participate in international travel for research collaboration and field validation.

Required Qualifications

• PhD in Remote Sensing, Geospatial Science, Computer Science, or related field.

• Proven experience in machine learning frameworks (PyTorch, TensorFlow).

• Strong programming skills in Python and C++.

• Demonstrated ability to handle large geospatial datasets both locally and/or in the cloud.

• Publication record in leading geospatial or remote sensing journals.

Preferred Qualifications

• Interest or background in agricultural research or crop science.

• Experience with cloud computing platforms and satellite repos such as Microsoft Planetary Computer.

• Familiarity with crop modeling techniques.

What We Offer

• Deep Work coded, research-first work culture.

• Opportunities to travel and ground truth the satellite algorithms you build.

• Language training for international travel.