Senior Applied Scientist - Computer Vision,ML

Description

Are you interested in shaping the future of movies, television, and digital video? Do you want to define what video content Amazon customers are watching? Amazon Video Direct (AVD) is a self-service platform that enables any video creator to publish video to reach millions of Amazon customers globally and monetize from the sales and consumption. Amazon Video content risk inspection team is chartered to protect and mitigate any inappropriate/disappointing content as well as any copyright infringement content to provide a trust-worthy customer experience as well as secure existing provider relationships. On the team you'll be able to get your hands on lots of technologies to build distributed, scalable, low-latency solutions for real-world customer facing problems.

We are looking for an 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 content risk inspection 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 scientist across Amazon to define the scope of the product, identify and initiate investigations of new technologies, prototype, test solutions and ability to web-lab performance between different approaches that generates a high-precision, low latency prediction models 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
  • 5+ years of hands-on experience in predictive modeling and analysis
  • Strong algorithm development experience
  • Skills with Java, C++, or 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

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