Polariks develops quality and disease monitoring systems for agriculture based on hyperspectral imaging and robotics. Whereas, our first application is in the viticulture industry. We offer wine growers a simple, robust method to measure the most important biological aspects to wine growing and near real-time objective insights in their grape and vineyards’ conditions to increase efficiency, quality and yield.
The most important tool Polariks uses is the development of learning classification models which can directly detect biological parameters based on camera data. Our team therefore consists of a selection of data scientists, optical engineers, and deep learning specialists.
You will be working on developing the machine learning and vision interpretation for the analysis of diseases and monitoring of quality of foods and fruits. You will be working on developing the machine learning and vision interpretation for the analysis of diseases and monitoring of quality of foods and fruits. You will integrate vision and robotics systems to develop monitoring systems that run through agricultural fields. You will be involved in both prototyping and testing in the field.
- Data Scientists (preferably experience with Deep Learning/CNNs)
- Mechanical engineers with special interest in Agritech
- Full Stack Developers
Contact us at firstname.lastname@example.org