DeepScale sparked the tiny deep neural network revolution with SqueezeNet. Based in Mountain View, CA, the company develops AI perception software for advanced driver-assistance and autonomous driving, with a focus on implementing efficient neural networks on automotive-grade processors.
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 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.
Senior Data Engineer
DeepScale is hiring a software engineer to lead our data engineering efforts as we transition to the cloud. Data is a critical part of our engineering efforts at DeepScale; not only do we need efficient serving infrastructure to train our models, our proprietary data-sets we collect and annotate give us a competitive advantage in the models and products we can build.