End-to-end solutions for the entire ML lifecycle
Scale’s emerging products are some of the fastest growing in the company's history. We are looking for great entrepreneurial engineers to help us grow further and can bring in good technical fundamentals. In this role you’ll be given the opportunity to have a large amount of impact by working closely with our go to market teams to understand and define what our customers need. We are looking for software engineer generalists who care deeply about impact and solving customer problems. We want people who are results oriented who will find great innovative solutions to deliver the best product that helps our users accomplish their goals. You will work with a dedicated group of engineers to launch and grow Scale’s emerging products.
The Document team is in charge of our products for annotating invoices, resumes, and other structured documents. Through a tight relationship with our ML team, we are creating end-to-end solutions for our customers’ needs. Our goal is to create a “human-in-the-loop” semi-automated annotation pipeline, capable of leveraging both the scalability of an ML model and the accuracy of a human labeler.
Scale's mission is to accelerate the development of AI applications.
Scale is a vital part of bringing machine learning enabled technologies to the world, from autonomous driving to drones, robots and VR / AR. Our suite of managed labeling services combines manual labeling with best in class tools and machine driven checks to yield stunningly accurate training data. Scale is committed to continual innovation in combining humans with AI to prepare intelligent data, passing on these improvements to our customers (such as Alphabet (Google), Zoox, Lyft, Pinterest, Airbnb, nuTonomy) and powering a growing future of AI applications.
Scale's team consists of 120 people and 35 engineers of industry veterans from Dropbox, Google, Palantir, Quora, OpenAI and others.