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10 Jul 2018

Full-time Data/Machine Learning Engineer (m/f/d) in Berlin

upday GmbH & Co. KG – Posted by AxelSpringer Berlin, Berlin, Germany

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Job Description

upday is a personalised news service that is exclusive to Samsung devices. We combine editorial expertise and curation with the very latest personalisation technologies to bring our readers the stories that matter to them. Upday is a subsidiary of Axel Springer SE with our headquarters in Berlin. We are growing fast and looking for creative and committed people to help build the upday vision in our Berlin office. If you’re looking to join a international team full of fantastic talent that has the energy of a start-up but the stability of an established media company – look no further.

Your Job
You are a software engineer at heart, and you love tackling problems with data. You’re comfortable tapping into different sources and making the data available for business usage, as well as querying it and optimizing processes to access it. You are also able to design more sophisticated solution to bring machine learning powered features to production and help scientific research on our data. You take ownership for data integrity and you have the proactivity to spot, communicate and resolve issues independently.Stay on top of pioneering technology in big data and implement your learnings.

Design, create and maintain:

data-warehouse structures (data marts) to meet business operation needs
data manipulation and training/evaluation solutions to help our research on the data
production ready prediction/categorization pipelines to bring machine learning to the live app

Your Profile
You are looking for a full-time, on-site developer position in the heart of Berlin. You are a team player with experience working in an agile environment. You are keen to develop your skills, and those of your team. You have an interesting hobby such as brewing beer or space travel.

What yo have/ you are able to do:

An academic degree in Computer Science, Mathematics, Engineering or
equivalent practical experience
3+ years experience in data engineering and/or machine learning engineering
Knowledge in Python
Dealing with more data than a single machine can handle
Experience in any of the below would be a plus:

Data pipelines
Airflow
Snowplow
Spark, Hadoop (or similar distributed data processing technologies)
Data mining & Data visualisation
Machine learning technologies
Java

What we offer
Some reasons why you would like to work with us:

It’s an opportunity to work with passionate, curious people with a constant strive to improve and go the extra mile. We have a strong culture of collegiality and an extraordinary team spirit that we are happy to share with you and are proud of. We provide personal growing support: from blog posts to tech talks and knowledge sharing. We conduct hackathons/hack-weeks every now and then, we are willing to make experiments and constantly try to grow. Competitive salary and unlimited contract and many more benefits.

How to Apply

Your Contact For any further questions (requisition number 033400059), feel free to contact Alice Cardi, under alice.cardi@axelspringer.de.

Job Categories: Engineering. Job Types: Full-time.

Job expires in 51 days.

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