The Computer Vision/Machine Learning Engineer will be responsible for the research and development of systems that incorporate the use of various sensors such as camera, radar, and lidar, individually and through the use of sensor fusion, to detect and classify objects encountered in autonomous vehicle operations. The Computer Vision/Machine Learning Engineer will use deep learning techniques to train, validate, test and tune models that allow real-time inference to inform safe operational decisions.
Raven Applied Technology is dedicated to feeding a growing world population. How would you like to see your creation every time you take a drive through the countryside and know it is putting food on the table? Our technology in precision agriculture drives tractors down the field, wirelessly connects the field and the office, and protects the environment with controlled outputs. Join our team, and help farmers around the world grow more with less.