Machine learning engineer
||donderdag 28 mei 2020
About the team
The News Personalisation Team is a small team of engineers, scientists, and research interns. The team is responsible for personalising the news products across major Dutch and Belgian news titles (Volkskrant, AD, Trouw, Parool, HLN, De Morgen and many others) owned by DPG Media. The team is responsible for training models and for deploying and maintaining them in production, including all surrounding infrastructure.
Our stack: Python, Bash, SQL, RDB, Kafka, Kubernetes, Redis, PySpark, Elasticsearch, Concourse
What you’ll do
You are challenged to have an impact on the way millions of people consume news content. Building and managing applications, used by many products across our organization, is part of your responsibility. You will be using:
cutting edge machine learning technologies, including new open source tools
deep learning models
state of the art language models
a healthy and modern work environment
competitive salary between €5500 - €6750 gross a month, based on experience
36-hour work week with the flexibility to work 2-3 days per week from home
24 paid holiday days
12% in flexible benefits (of which 8% is extra holiday allowance)
a percentage of profit shares
technical training reimbursed and a yearly conference budget
reimbursement of travel expenses
an excellent pension contribution scheme
Our team has 3 members with a machine learning PhD and 2 members working towards it.
We have a voluntary bi-weekly reading group where we go through interesting machine learning papers.
We have offices in Rotterdam, Belgium, ... which you can sometimes visit and work from.
As a senior machine learning engineer you have experience working with big data technologies and you are capable of making decisions in a broad technical framework. You are familiar with AWS/cloud technologies and have experience monitoring and maintaining complex infrastructure.
are not afraid to deal with high volume data pipelines
are familiar and keep up to date with the latest developments and technologies in the field
are able to translate business requirements into system designs, execute and implement those designs
can contribute to making architectural and design decisions within the team
have experience working with and mentoring junior team members
Want to apply directly? Click the ‘apply now’ button. Want to know more about this position? Contact Mark van Dommelen via email@example.com or tel:+316 83 80 00 59.