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MLE Internship

  • On-site, Hybrid
    • Brussels, Brussels, Belgium
  • Delivery

Job description

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


Artificial Intelligence isn't coming — it's already here, and it's changing everything.
Welcome to Superlinear! ❤️ The heart of AI innovation nestled in Belgium, and your next potential playground! At Superlinear, we believe in AI as a co-pilot for people, helping them to do more and ultimately allowing us to be more human. We provide expert guidance and deliver AI solutions that have a positive impact on the world. 🌍
Today our mission is to become the No. 1 in Europe in the area of AI consultancy.



The position

At any time in the year, Superlinear hosts several internship positions. Working as a student at Superlinear 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 Superlinear 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!


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