Model code and data form the foundation of an AI system. Scale’s leading end- to-end solutions for the ML lifecycle based on real-world data will continue to set the bar for the data-centric AI movement. On the Document AI team, we are focused on building the best information extraction document models for any document in the world.
Your core focus will be on document understanding use cases, specifically around information extraction and form understanding. You will be involved end-to-end from coordinating with operations to create high quality datasets to productionizing models for our customers. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you!
Ideally you’d have:
Nice to haves:
Experience with deep learning with large scale document processing.
Published research in areas of machine learning at major conferences and/or journals.
Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
Strong programming skills in Python, experience in Tensorflow or PyTorch.
Strong written and verbal communication skills.