Jr Machine Learning Engineer location intelligence - What would you do with 3 billion coordinates?

Here you'll find the details about the job "Jr Machine Learning Engineer location intelligence - What would you do with 3 billion coordinates?" in the company Accurat.

Name Jr Machine Learning Engineer location intelligence - What would you do with 3 billion coordinates?
Company Accurat

Before we start: we have raised 1,1 mio euros late 2021, work for A-brands such as Delhaize, Lidl, Aveve, Brico, X2O, Proximus and Telenet to name a few and are expanding our services to the EU in 2023. We are looking for jr & sr machine learning engineers and data egineers to support our growth.


Accurat wants to change the way decision making is done by providing real-world behaviour insights. We heavily rely on big data & machine learning. Interested? Keep on reading…

Our machine learning pipeline starts with millions of raw GPS coordinates of mobile users. A first model estimates the places the users visited, the event they went to and the locations they passed by (eg. billboards). In addition, a user’s home and work location are estimated, the distances he travels per day, his transport modes etc. This data is used in our audience model which calculates all audiences of the users, eg. car commuters, Delhaize visitors or people ‘having kids’. Finally, all this information is analyzed to answer questions of our clients: What is the number of visits per day at my store? What kind of audiences do I attract more than my competitors? What was the impact of my last campaign?

To maintain, improve and extend our machine learning models, we are looking for machine learning engineers to join our team. You will report to our CTO and collaborate in a team of multiple data scientists.

We can offer a fun environment (near Ghent), the expertise and support to make you grow together with our company and the trust and freedom to build a career in big data & machine learning. And we can discuss some other benefits too off course ;-).

More info:

Target profiles:
  • Burgerlijk Ingenieur - Computer Science Engineering
  • Burgerlijk Ingenieur - Communication and information Technology
  • Computer Science
  • Engineering Technology - IT (Industrieel Ingenieur)
In industries:
  • Technologie
  • Artificial Intelligence
Required special knowledge

What’s on our wish list?
- you have a master’s degree in computer engineering or a related field
- you have a minimum of 1 year of work experience with Machine Learning or Artificial Intelligence
- you have strong mathematical skills (as in: statistics don’t scare the sh*t out of you 😉)
- you can analyze data, perform statistical analysis, and clearly report your findings
- fluent in python (pandas, scikit-learn…)
- fluent in developing with databases (MySQL)
- knowledge of Git and Linux
- you speak fluent Dutch and/or English
- hands-on attitude and comfortable in a fast-moving startup environment

Experience with any of the following is considered a plus
- experience with (Google) Cloud technology
- geo-spatial data processing
- data engineering technologies (Dataflow, Bigquery…)

Foreign Nee
Contact Henri Van den Braembussche (Lead Machine Learning engineer)
Tel: +32 493 09 80 79