Machine Learning Engineer
Schibsted Sverige AB / Datajobb / Stockholm
2019-10-07
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hela Sverige Visa alla jobb hos Schibsted Sverige AB i Stockholm 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 is an international media group with more than 5 000 employees. We have world-class media houses in Scandinavia, leading marketplaces and digital services that empower consumers. Millions of people interact with Schibsted companies every day.
What we do
Our corporate social responsibility is closely linked to our mission of "Empowering people in their daily life", our values and our core business. We believe that we, together with our users, can contribute to a more sustainable society in what we do every day.
- We empower people by providing transparent and secure marketplaces.
- We empower them by creating services that provide them with better deals.
- We empower them by defending freedom of the press and editorial integrity.
Nordic Marketplaces
Connecting millions of buyers and sellers every month, we provide leading online marketplaces in the Nordics.
Our digital marketplaces such as Finn.no, Blocket.se help people buy and sell new and old things.
Next
Within Next we drive growth and create value for Schibsted's customers and users. Our four areas Growth, Financial Services, Next Media and Distribution, will secure that innovation prevails as part of Schibsted's DNA.
News Media
As the largest media group in Scandinavia, our world-class media houses continue to shape the media landscape of today - and tomorrow.
In Scandinavia, our media houses such as VG, Aftenposten, Bergens Tidende, Aftonbladet and Svenska Dagbladet keep people informed and updated on important issues in society.
Varaktighet, arbetstid
Heltid 100% Tillsvidare
Publiceringsdatum2019-10-07ErsättningMånadslön
Så ansöker duSista dag att ansöka är 2020-02-17
Klicka på denna länk för att göra din ansökanFöretagSchibsted Sverige AB
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Schibsted Sverige AB (org.nr 556536-9500),
http://www.schibsted.com/ Arbetsplats Schibsted Products & Technology AS
Jobbnummer 4878400
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