Offers “Amazon”

Expires soon Amazon

2020 Computer Vision Internship - AWS

  • Internship
  • Tübingen, GERMANY
  • Personal services

Job description


We are looking for passionate intern researchers (f/m) that want to work with us on challenging problems in computer vision at scale. We are interested in a range of open research questions and are offering an excellent environment to conduct interesting research with access to industry resources. We are not limited by topic, some problems we have worked on are scene understanding and generation, fairness, probabilistic deep learning, structured inference problems, algorithms that enable learning at large scales, and image processing.

The position will be based at the Amazon research lab in Tübingen, Germany. We are a small site with a focus on open research that benefit our customers at AWS. Tübingen is a great place with high quality of living and an international research community. Tübingen is a university town and home to several research institutes It is a young city with a large international community and lots of things to do. You will find it to be a relaxed place with beautiful surroundings.


· Experience with Deep Learning
· Publication in top-tier venues (CVPR, ICML, NIPS, ICCV, ECCV, etc.)
· Familiar with using Unix, Linux or Mac; git
We look forward to your application. Please apply online and upload your CV and a letter of motivation in one document (max. 5 MB).

By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.

Desired profile


· Master in Computer Science, Mathematics, Physics or any other field with quantitative focus
· General knowledge of machine learning methods
· Background in computer vision
· Basic coding skills that allow to transform your idea into a prototype and apply it on data.
· Being motivated and curious to improve on all the above skills

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