Scale

We label data for your favorite computer vision teams. Our mission is to accelerate the development of AI applications - we believe building a high quality labelled dataset is the biggest bottleneck to deploying supervised deep learning systems, so that's what we're tackling first. We’ve had phenomenal past few years, raised an $1B series C, and are looking to grow our team of 130 (35 engineers). We’re looking for engineers to work on projects ranging from making labelling more efficient via front-end work/ML work to launching completely new product lines.