Degas is an AI tech company focused on increasing the income of smallholder farmers in Sub-Saharan Africa through data aggregation, AI credit scoring, satellite observations, and smallholder farmer financing. We believe that Africa's development is tied to the development of its farmers. Degas provides farmers with a full range of tools to enable productive and lucrative farming while showcasing their potential with technology.
Our Previous works
Geospatial Foundation Model : https://arxiv.org/abs/2405.02512
This is a full-time hybrid role for a Machine Learning Researcher. The Machine Learning Researcher will be responsible for developing and implementing machine learning models to improve the accuracy of AI-driven credit scoring, as well as analyzing and interpreting large data sets. The role is located in the Greater Tokyo Area with flexibility to work remotely for some days a week.
Qualifications
Strong background in Computer Science and Statistics
Experience with programming languages such as Python
Experience with Pattern Recognition and Neural Networks technology is required
Excellent communication skills and demonstrated ability to work in a team
Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
Strong publication record would be beneficial
Experience handling satellite observation data would also be beneficial
Employment type
Full-time
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