Skip to content

MLE Internship

On-site
  • Brussels, Brussels Hoofdstedelijk Gewest, Belgium
Delivery

Job description

🚨 Applying for this position is only possible for students currently enrolled in a Belgian university 🚨


About Radix

Radix is an Artificial Intelligence solutions provider based in Brussels. Together with our clients, we deliver AI solutions that positively impact the world. 

Our mission is to help our clients grow and improve people's lives. To deliver on our promise, we focus on the combination of three elements:

     📊 Business: creating high value for our clients, their employees and society as a whole

     💪 People: delivering technology that can genuinely assist people, not replace them

     🤖 AI: automating intelligence to achieve the highest impact

Founded in January 2018, Radix is now a team of 30 people that continues to grow. We work
with ambitious clients like GSK, Brussels Airport, Atlas Copco, Flanders Investment and Trade,
VDAB, Belga, Macadam, YARA International, House of HR and more.


The position

At any time in the year, Radix hosts several internship positions. Working as a student at Radix shows you, among other things, how your learning material is applied in the field and what the best practices are when working on a project, this while being supervised by field experts. Aside from that, it allows you to get a glance at how a growing startup operates from the inside and how other departments such as ​Marketing​ and ​Sales​ contribute to this.


Over the years, the Machine Learning Engineers at Radix have implemented many different projects, ranging over the full Machine Learning spectrum. The specific project you'll be working on will be discussed during your application process, where we will try to find a project that matches your skill set and interests best. We offer internships in any Machine Learning domain and are open for students to propose their own idea.

Open vacancies

Job requirements


Your qualifications

  • You are fluent in English, both written and verbal.

  • You have strong analytical skills and are familiar with the basics of machine learning.

  • You are available for at least 6 weeks (full-time), or an equivalent amount of days part-time.

Your technology stack
  • You know your way around Python.

  • You know how to work with source control tools (git, conda, pip).

  • Familiarity with statistical Python tools such as Spacy, TensorFlow, or Torch is a plus.

  • Experience in back-end (e.g. FastAPI), front-end (e.g. Vue, Angular), and cloud infrastructure (e.g. AWS) is another plus.

Benefits & Perks
  • Experienced colleagues to learn from and who will guide you on your project.
  • Clear insight into how a growing startup operates, and how you as a (future) MLE contribute to this.
  • A cool office in Brussels right next to the central station.
  • Regular happy hours and team events to never forget!


or