Applied Scientist

Job ID: 854481 | Amazon Development Center DEU


Help us turn pixels into people.

We are a newly established innovative Development Center in Tübingen, Germany which focuses on computer vision, machine learning, robotics and causality in diverse application fields at Amazon.

If you get excited by the prospect of dealing with ambiguity, solving hard, large scale problems, working in a startup like environment and if you want to come to one of the most exciting places of the world for researching Intelligent Systems, then we have the perfect role for you. We have several open positions for different levels of experience and this is what we are looking for in the field of Computer Vision/Machine Learning:

As an Applied Scientist, you will be driving projects and prototypes in the field of avatar synthesis and photo-realistic appearance.
Your ideas allow a fast path to production at scale. We will furthermore need your experience and expertise in developing efficient algorithms, building tooling and helping us ask the right research questions.


· Masters or PhD in machine learning, computer vision or related field. PhD is preferred but relevant industry experience will be taken into account.
· 3+ years of programming experience in Python, C++ or related languages.
· 3+ years of hands-on experience developing and implementing machine learning or computer vision algorithms.
· Experience with modern ML/CV frameworks such as TensorFlow, MXNet, etc...
· Strong communication and data presentation skills
· Strong problem solving abilities


· Publications in top-tier venues (CVPR, ICML, NIPS, ICCV, ECCV, etc.)
· Experience Developing and implimenting deep learning algorithms, particularly with respect to computer vision algorithms.
· Experience with gradient descent and other forms of first and second order derivative-based optimization
· Familiarity with state-of-the art human shape or pose estimation. Hands on experience in this area is a strong plus.
· Experience with probabilistic models and statistical learning
· Experience with 3D graphics and/or geometric reconstruction
· Familiarity with cloud computing services such as AWS

Take a look at to learn more about research highlights and publications from the Amazon science teams.