Your Profile

+ Strong theoretical background: You have a deep understanding of how and why machine learning works and can apply this knowledge in practice
+ You have a track record of successful machine learning or data science projects that go far beyond MNIST
+ Challenging problems motivate you to exceptional performance: If you run into unexpected issues, you dig deeper until you discover the (maybe unconventional) approach to solve the problem
+ Customer orientation: Your main goal is to build great products for our customers, even while working on complex and abstract machine learning projects

Your application should include the following documents: Curriculum vitae, Cover Letter (including salary expectations), your LinkedIn and GitHub account and certificates