Ready to take the red pill?

Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML on it.

Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects.


As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central.

You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains.

We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us.

Our Stack

  • Python / R – standard open-source libraries
  • Scikit-learn and various specialized Python and R ML libraries
  • Deep learning frameworks such as Pytorch and Tensorflow/Keras
  • Cloud platforms such as GCP and AWS
  • Relational database management systems
  • Distributed processing such as Apache Spark


  • Analyzing and planning problem, solution, and delivery
  • Preprocessing, feature engineering, and dataset creation
  • ML model development
  • Validation of results
  • Data pipelining and infrastructure development

Background & Skills

  • MSc or Ph.D. in a quantitative field
  • Excellent understanding of a broad set of ML algorithms and frameworks
  • A passion for lean, clean, and maintainable code
  • The desire to grow and to share insights with others

Helpful knowledge

  • Deep learning frameworks and theory
  • Data pipelining and infrastructure
  • Some basic DevOps stuff, creating and maintaining instances.


Working at Modulai

What you can expect from working with us

A learning environment

We’re an organization that will put immense value in your personal growth. We will do what’s in our power for you to learn new things and become an exceptional ML engineer.


Trust. We will trust in your judgement and your capabilities. You will be given ownership and responsibility in planning and solving your tasks.

We’ve got you covered

We will make sure that you have the support of the team and never be left hanging in a project. For us ML is a team effort and all projects are Modulai’s projects. We have different skill-sets and shine bright in different areas, thus we help each other out and support each other throughout the delivery.


We strive to maintain a good work-life balance, enabling people with families to feel at home here, as well as making stress levels manageable.

Sounds interesting?

We’re always looking for talent. Get in touch with Magnus and learn more.

Magnus Isenberg

Head of Growth

+46 704 850 913 magnus[at]

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