Software Development - Amazon AWS Computer Vision Science , AWS Computer Vision Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Deep Learning, PyTorch, TensorFlow, MxNet, C# Programming

Job Description

Job summary

Do you want to build computer vision, deep learning and machine learning systems at scale to solve document understanding? Come join the world-leading researchers, academics and research engineers in the AWS Computer Vision science team developing the algorithms and models that power 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 Research Engineers like you endless opportunities to see your work 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 researchers and developers. As part of the team, we expect that you will help build innovative solutions to hard problems, and deploy them at AWS scale. You will also have an opportunity to publish at peer reviewed conferences and workshops.

We work on customer driven problems in the following domains: document OCR and scene text recognition, visual question answering, NLP+vision, extracting tabular data from documents, document understanding, and layout understanding.

• A research engineer in AWS Computer Vision research team has the following responsibilities:
• Design and build reference architectures, or train/optimize models that enable science experimentation on complex problems with unknown definition and solution pipelines
• Design and guide the science team's implementation, enabling Science POC that help decide the ultimate science solution strategy, algorithm workflow, and the individual science components that become a release candidate
• Drive best practices in team [code, packaging, compute, deliveries]. Advise and drive implementation for research projects and act as a bridge between science and engineering for eventual productization of new algorithms
• Handle and implement research code for training and evaluation, apply and adapt known science methods

BASIC QUALIFICATIONS

• BSc/MSc in Computer Science, or related field
• 3+ years of industrial experience
• Strong computer science foundations (data structures and algorithms)
• Excellent coding and design skills, expert in C/C++/C#, Java, or Python
• Basic research methodology skills
• Good writing and verbal English skills
• Strong communication and collaboration skills

PREFERRED QUALIFICATIONS

• Solid knowledge of AI technologies (Machine Learning, Deep Learning, Natural-Language Processing, Computer Vision, etc.)
• Industrial experience in building and launching AI-related features, products or systems
• Experience with with deep learning libraries such as: PyTorch, MXNet, Tensorflow, TensorRT.
• Experience optimizing models runtime.