Senior Machine Learning Engineer - Video Recommendation

The Recommendation & Search Area houses all expertise around personalised content recommendations and search within DPG Media. Our mission is to improve the relevance of our digital products to our customers by providing them with the content they want, whenever and wherever they want it. We are an established team of Machine Learning Engineers that develop & maintain a collection of APIs that can power all of our News and Video platforms. Our systems serve millions of recommendations per day to users of platforms like VTM GO, Streamz, HLN.be, and NU.nl.

We are currently hiring a Senior Machine Learning Engineer for the Video Recommendation team, based in Vilvoorde, Belgium.

About the job

The Video Recommendation team is responsible for the systems that provide fully personalised experiences to all users of VTM GO and Streamz. The team is composed of a Product Owner and Machine Learning Engineers and supported by an Area Architect as well as an ML Platform team. The role requires you to be in the Vilvoorde office 1-2 days per week, you are free to work from home or our Antwerp office on other days. In this role you will report to the Head of Recommendation and Search and collaborate with engineers as well as stakeholders from business and other IT divisions.

Responsibilities

• Identify technical risks in the project and work with the team and stakeholders to mitigate them. Provide insights into potential technical challenges that might arise during development

• Empower team members to take ownership of their work and make decisions, while providing support and guidance as needed

• Act like a mentor towards the other engineers and lead by example in domains like code quality, efficient design and operational monitoring

• Enables discussions on technical solutions and takes decision if there is no consensus in the Squad

Profile

• A senior experience in developing, shipping and maintaining large scale software engineering projects

• An extensive experience in Machine Learning projects and with Python and key libraries such as scikit-learn, pandas, SciPy, NumPy…

• Prior experience in the domain of personalisation and relevant techniques (Collaborative Filtering, Content-based filtering…)

• Familiar with concepts of statistics and probability theory

• Our tech stack is focussed around Spark, Python, Docker, Kubernetes and operates on AWS

• You are passionate about what you do and the products you support