About the work:
- You will be building algorithms at field/plant level to solve real-world problems and help millions of farmers and agri-businesses with their decision making.
- Build deep understanding of existing algorithms in spatial and aerial imaging data assets
- Categorize crop health and soil health and estimate the yields.
- Identify early onset of pests and diseases. Build alerts and farmer/business solutions.
- Evaluate different imaging platforms, datasets and technologies.
- Identify libraries and technologies that solve our problems and/or are worth experimentation.
- Collaborate with agro-experts to map imagery data to recommendations with engineering team to scale your work.
- We believe in a small and effective team - you- ll have a say in what to build and own it.
About you:
- Have 4+ years of experience in image based machine learning and/or image processing.
- Come up with your own goals and don't need heavy direction or daily check-ins
- Fluent in Python (preferred) or R, capable of framing problems as programming tasks from the ground up, as well as working with existing code.
- Fluent in statistical/machine learning libraries in Python or R.
- Understanding or intent to learn geospatial data formats and GIS concepts.
- Experience with image based machine learning.
- Knowledge of GIS concepts and experience with vector geospatial data is a plus.
- A STEM degree from top tier educational institutes
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