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WHO WE ARE

Schibsted Media Group is an international media group with around 5500 employees in 31 countries. From Mexico to Malaysia, from Brazil to Norway – millions of people interact with Schibsted companies every day. We ensure that new and old sofas can be sold through our digital marketplaces such as Finn.no, Blocket.se and Leboncoin.fr. News reports are read and watched when, where and how consumers want through VG, Aftenposten, SvD and Aftonbladet. Carpenters are found through a couple of clicks. Prices are compared and the latest fashion is browsed. These examples are just some of the ways our services empower people all around the world in their daily lives.

The mission of our team is to classify our users into different groups (a.k.a. segments), based on their online activity. Currently, the segments are mainly used to drive our advertising business, but our modelling is increasingly used by Schibsted to create other smart and data-driven products and services. We are now looking for a passionate and exceptional machine learning engineer with experience of building machine learning systems that bring real value.

WHAT YOU WILL DO

- Apply machine learning and statistics to analyze and solve real world problems.
- Engineer and implement highly scalable and reliable systems, using the best development practices and tools.
- Work closely with backend engineers in own team to build and productionize ML models that power our services.
- Work closely with other teams (Data Science, Product and UX) at Schibsted to drive product development.
- Learn a lot and share your own knowledge. Travel occasionally, either to meet colleagues and work together, or to attend conferences.

WHO YOU ARE

- At least Master’s degree in Computer Science, Software Engineering, Applied Mathematics or any quantitative field.
- Experience of building systems for model training and serving using, e.g., TensorFlow, Keras, or PyTorch
- Understanding and genuine interest of AI and machine learning methods and algorithms, e.g., gradient based optimization and neural networks
- Experience with development in programming languages such as Python and Java
- Proven track record of shipping technology while dealing with ambiguity, managing cross-team dependencies and relationships

IT'S GREAT IF YOU HAVE

- Experience with cloud providers such as Amazon Web Services or Google Cloud, and being familiar with container based architectures and microservices
- Experience with distributed computing technologies like Spark, Hadoop, Kafka

Schibsted Media combines a long and proud publishing tradition stretching back to the 19th century, with digital innovation and entrepreneurship. Schibsted Media is an independent division that comprises all of Schibsted’s media businesses, including brands such as VG, Aftonbladet, Aftenposten, Svenska Dagbladet, Bergens Tidende, Stavanger Aftenblad, Fædrelandsvennen, and seven local newspapers.

The division also includes Schibsted Growth, which is home to start-ups and growing businesses such as Lendo, Prisjakt, Let’s Deal, Bynk, Fronteer Solutions, and Kickback. Growth is always searching for smart founders with ambitious ideas, scalable business models – and a mission to empower people in their daily lives.

Schibsted Media was established in the autumn of 2017, and the division contains 4000 employees who are based across Norway, Sweden, and Poland.

Detta är en jobbannons med titeln "Machine Learning Engineer" hos företaget Schibsted Products & Technology AS och publicerades på webbjobb.io den 23 augusti 2019 klockan 18:01.

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