Applied Scientist Intern

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques

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 Computer Vision research 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.

BASIC QUALIFICATIONS

• Progress towards a completed PhD in Computer Science, Mathematics, Physics, Statistics or any other field with strong quantitative focus
  · Demonstrated research experience in either causality or representation learning with a proven track record of publications at well-regarded conferences and journals
  · Strong software development skills
  · Proven written and verbal communication skills in English

PREFERRED QUALIFICATIONS

• Relevant additional experience such as post-doctoral roles or industry research
  · Experience with cloud computing products
  · Expertise on a broad range of machine learning methods
  · Excellent problem solving ability
  · Fascination for conceptual problems raised by causal inference