Computer Vision Engineer

Vor 7 Tagen

Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH Vollzeit
About the Role

We are seeking an exceptional Applied Scientist to join our Content Systems Science and Engineering 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
  • Research, design, implement, and evaluate novel computer vision algorithms
  • Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems for various applications
  • Collaborate closely with other scientists and engineers to drive systems from prototyping to production level
  • Collaborate with teams across the world
  • Engage with the scientific community (within Amazon and beyond)
  • Think outside the box and identify novel opportunities for a better customer experience
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.

Requirements
  • 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 application
  • 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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