Senior Computer Vision Engineer

vor 4 Wochen


Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH Vollzeit

We are seeking a highly skilled Senior Computer Vision Engineer to join our team at Amazon Development Center Germany GmbH. As an Applied Scientist, you will be responsible for driving prototypes, projects, and solutions in the fields of computer vision, machine learning, and image optimization.


Key responsibilities include:

  • Researching, designing, implementing, and evaluating novel computer vision algorithms
  • Working on large-scale datasets to create scalable, robust, and accurate computer vision systems for various applications
  • Collaborating closely with other scientists and engineers to drive systems from prototyping to production level
  • Collaborating with teams across the world
  • Engaging with the scientific community within Amazon and beyond
  • Thinking outside the box and identifying novel opportunities for a better customer experience

Your work will have a significant impact on the shopping experience for millions of Amazon customers every day.

About the Team

The Content Systems Science and Engineering team develops foundational computer vision capabilities for the billions of images owned by Amazon. Our systems power technologies ranging from content moderation and product classification to marketing optimization and recommendation systems.

Basic Qualifications

  • PhD, or a Master's degree and experience in CS, CE, ML, or related field
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python, or related language
  • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Preferred Qualifications

  • Experience using Unix/Linux
  • Experience in professional software development
  • Experience building machine learning models or developing algorithms for business applications
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing


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