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Computer Vision Applied Scientist

Job ID: 1849335 | Amazon Development Center DEU


Job summary
We are a computer vision research group in Berlin, Germany creating innovative solutions in collaboration with product teams all across Amazon for some of the most visible and exciting problems out there. Our work sits right at the intersection of research and engineering and we are delivering products with real world impact in multiple application domains, such Visual UIs for Search and Discovery, Product Identification in Images, Semantic Visual Understanding of the Product Catalog, Accessibility, Diversity and Video Understanding.

If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you. We have open Applied Scientist positions in Berlin for all levels of experience and this is what we are looking for.

Key job responsibilities

  • Research, design, implement and evaluate novel computer vision algorithms
  • Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields
  • Collaborate closely with stakeholders, researchers and engineers to drive systems from prototyping to production level
  • Collaborate with teams spread all around the world

About the team
The Computer Vision NA Consumer team (CVNA) located in Berlin (BER12) is an applied science team with subject matter expertise on diverse Computer Vision (CV) and Machine Learning (ML) areas. Our North Star is to operate as a centralized science team across all Amazon business units, propelling innovation and empowering partner organizations to launch impactful solutions using CV/ML


  • A master of science or PhD in computer vision/machine learning or related experience
  • Broad knowledge of fundamentals in computer vision/machine learning
  • Coding skills in two or more programming languages such as Python, C, C++, Java etc.
  • Living in or willing to relocate to Berlin, Germany


  • Experience in publishing at computer science conferences or journals
  • Hands-on experience with popular deep learning frameworks
  • Hands-on experience with Python
  • Strong verbal and written communication

Amazon Science ( gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. #scienceemea

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.