DeepScale, Inc. is a fast growing start-up in the Advanced Driving space, providing perceptual systems for Advanced Driver Assist Systems and Autonomous Vehicles. DeepScale uses deep learning to build accurate and efficient perception systems that enable automated machines to “see”. Our software takes input from sensors and produces an environmental model of the real world. Our prior work has produced neural nets that maintain state-of-the-art accuracy but are up to 500x smaller than other nets designed for the same task. We have thought leaders and experienced practitioners in computer vision, AI-powered 3D reconstruction, and deploying small neural nets in embedded applications.
Find, customize, and/or implement systems for deploying deep-learning based applications to modern embedded and parallel platforms. Additionally, depending on experience, skills, and inclination, work may extend to custom development/implementation of core NN computations (see Nice-to-have Qualifications).