We are a studio of developers, designers and product people. We focus on building software for the media industry. We combine technology and agile thinking to create great products people can’t help but love.
We are a Cross-functional team developing not only great products such as aravoices but also have a strong emphasis on good software engineering practices. https://as-ideas.github.io/team-radar/
machine learning engineer working with state of the art deep learning technologies
You are a
machine learning engineer with a scientific education in mathematics, statistics, economics, computer science, machine learning or similar
Benefit from a
chance of boosting your personal development with seminars, workshops, various conferences and talks
Due to the current situation caused by the corona virus, we do job interviews via online video call (e.g. Skype)
Getting curious? Check out what we are doing on GitHub: http://github.axelspringer.com/ or check out our Techblog: https://medium.com/axel-springer-tech
Fragen und Antworten zum Bewerbungsprozess
The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/de/faq
Your contact person for this position (reference number 044400584 ) is Ipek Aldemir #LI-IA1
Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity.
You can find information about the representation for the severely disabled at Axel Springer as well as the contact details here: career.axelspringer.com/en/rsde
Wir legen Wert auf Chancengleichheit und begrüßen die Bewerbung von Menschen mit Behinderung, deren Integration uns ein besonderes Anliegen ist