Applied Scientist- X-Ray Engineering, Amazon Video

Job ID: 1403956 | ADCI - Karnataka

DESCRIPTION

Are you interested in shaping the future of movies, television, and digital video? Do you want to define what type and quality of X-Ray experiences should be delivered to Amazon customers? Prime Video X-Ray is a service/platform that enables creation and delivery of deep X-Ray experience for any video from any studio for millions of Amazon customers globally. Prime Video X-Ray is an experience that is growing and delighting customers globally on VoD content, Live Sports and Channels. We are looking for a Senior Applied Scientist who can work on different aspects of the video content, like text metadata, video, audio and images to apply from variety of techniques in computer vision, deep learning, machine learning and image processing algorithms to build visual understanding, metadata extraction and curation systems.

You will be contributing to a platform from the very early stages which will process terabytes of video content data. You will collaborate with other research scientists across Amazon to define the scope of the product, identify and initiate investigations of new technologies, prototype, test solutions and deliver an exceptional customer experience.

You will work closely with the software development teams to build robust vision-based solutions for customer-facing applications. You should be comfortable with a large degree of ambiguity and relish the idea of solving problems that, frankly, haven’t been solved at scale before. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.


BASIC QUALIFICATIONS

*PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
 Depth and breadth in state-of-the-art computer vision and machine learning technologies
 8+ years of hands-on experience in predictive modeling and analysis
 Strong algorithm development experience
 Skills with Java, C++, other programming language, as well as with R, MATLAB, Python or similar scripting language


PREFERRED QUALIFICATIONS

* 10+ years of relevant experience in industry and/or academia.
 Publications at top-tier peer-reviewed conferences or journals
 Proven track record of innovation in creating novel algorithms and advancing the state of the art
 Depth and breadth in state-of-the-art computer vision and machine learning technologies