Computer Vision - Applied Scientist, Textract

Key Skills

AWS, C Programming, C++, Deep Learning, Java Programming, Machine learning techniques, Mathematics, MxNet, Python Programming, PyTorch, SQL, TensorFlow

Job Description

Do you want to work on cutting edge research in computer vision, deep learning and machine learning to solve document understanding? Come join the world class researchers and academics in the AWS AI Labs: Vision team who are developing the science that powers Amazon Textract!

AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.

Our research themes include, but are not limited to: unsupervised, self-supervised and semi-supervised methods, active learning and semi-automated data annotation, document OCR and scene text recognition, visual question answering (VQA), document VQA, multimodal approaches using vision and language, extracting tabular data from documents, document understanding, and layout understanding.

We are located in the USA (Seattle, Pasadena, Bay Area), Israel (Haifa and Tel Aviv) and Canada (Vancouver).

BASIC QUALIFICATIONS

• Master's in Computer Science, Mathematics, Machine Learning, or related quantitative field
• Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

Preferred qualifications

• Experience with OCR, scene text detection, extraction of structured data such as tables from documents, document understanding, VQA and document VQA models
• Excellent publication record in peer reviewed conferences and journals
• Experience conducting independent research and building computer vision systems.
• 2+ years of experience implementing computer vision or deep learning algorithms in C++, C, Python or equivalent programming languages
• Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet