Senior ML Engineer

Job Description
Schibsted Media is a family of well-known media brands across Norway, Sweden and Finland. Our winning ambition is to be the leading media destination in Nordics. To reach our ambition we strive to offer the best and most relevant products in the media industry, making it even more attractive for readers, listeners, viewers, and advertisers to engage with our universe.

Data and AI is the central organisation within Schibsted Media that is responsible for its data platform, and builds data and AI products with emphasis on volume, velocity and privacy that serve the whole of Schibsted Media and its brands.

AI Services is a team within Data&AI that is currently responsible for developing and maintaining machine learning models that are empowering many use cases in Schibsted such as: producing insights and analytics about our customers, segments for the online advertising on our sites and personalization of news. We are working with big amounts of data from newspapers (like VG, Aftenposten, Aftonbladet, Bergens Tidene) and we are also looking for new ways to enhance user experience by adding new capabilities to our portfolio, which include working with content data and other exciting opportunities.

We are looking for an experienced ML Engineer , who is independent, goal oriented and loves working with Big Data. We practise a product-oriented mindset, so you will be working alongside the product management team to find the best solutions to meet the needs of our internal stakeholders.

What you will do:

• Contribute to analysis, design, building, training, evaluation, shipping and refinement of ML-driven products to solve real-world problems
• Collaborate closely with a cross-functional agile team spanning data science, product management, and engineering to build prototypes as well as production-ready solutions
• Engage with internal stakeholders and end-users to better understand their needs, as well as explain, educate, and support them in ML matters
• Provide guidance to more junior team members

What is our technology stack?

• Data Processing: Luigi/Spark/Scala -> Flyte/PySpark/Python. We are currently in the process of migration, consider the latter to be the future, however you might be required to work with some of the older pipelines before they are migrated
• Machine Learning: Tensorflow, Pytorch
• Infrastructure: Docker, Kubernetes as a main platform for both processing and services, AWS as cloud provider (S3, EKS)

Job requirements

• You have at least a Master's degree in Computer Science, Software Engineering, Applied Mathematics, or any quantitative field
• 3+ years of related industry experience in the data science domain and a deep understanding of AI and machine learning methods and algorithms
• You have great communication skills, can communicate complex concepts in a simple way, and articulate solutions to other team members and non-technical people
• Solid knowledge of Python with the ability to write performant production-quality code, other programming languages are a bonus
• Experience working with Pandas, Transformers and Tensorflow/Keras or Pytorch
• Experience working with Spark, Databricks or other big data technologies
• Experience working with Kubernetes and AWS (or any other cloud provider)

As a part of Schibsted, you will also have the opportunity to share knowledge and learn from other data engineers across the organisation. We encourage a diverse, collaborative and creative work environment, where you will develop and push for state-of-the-art solutions in big data processing as well as building reliable and highly scalable services.

Work with great people

Josefin Pihl
AD Targeting Operations Specialist
"Schibsted is a workplace where no day is like the other and you get to work with talented colleagues in a creative environment."

Anton Assarsson
Head of Editorial, Schibsted Brand Studio
"To me, Schibsted is synonymous with creativity and results. Driving change through innovation, teamwork, and integrity."

Estelle Douglas
Head of Trade and Marketing
"At Schibsted Marketing Services you get to work with ambitious, smart and fun people experiencing the fast-moving changing media landscape."

Max Schuler
Director Brand Studio
"Schibsteds ability to inspire, develop and challenge is absolutely outstanding. Apart from that, we have a great company culture."

Great Place to Work

• Learn and develop within Learning Lab
• 6000 fantastic colleagues in over 4 countries
• Empowering body and mind with Schibsted Life
• Career opportunities within the Schibsted family
• We embrace diversity