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Junior Machine Learning Engineer – Vibe Coding & AI (KTH)

0to9 AB (publ)

Stockholms län, Stockholm

Previous experience is desired

180 days left
to apply for the job

Are you one of the sharpest graduates from KTH finishing this summer? Do you see Claude, Cursor, and V0 as your closest colleagues rather than just tools? Then we want you to build the solutions of the future with us at 0TO9.

About the Role

We are looking for a junior star in Machine Learning and Computer Science to join our Machine Learning Team. This isn't about grinding away in old legacy systems. We are building new, fast, and smart.

We are looking for someone who has embraced the "vibe coding" philosophy: you focus on architecture, logic, and creativity, while letting the absolute latest AI tools handle the heavy lifting of the code.

Who Are You?

  • You are in your final semester of a relevant civil engineering or master's program, with a planned graduation this summer.
  • You have likely built personal projects where you used LLMs to accelerate your development. You are a "power user" of tools like Cursor, Replit, or similar.
  • You have a solid foundation in computer science and understand the mechanics behind ML, but you prefer applying them practically rather than just theorizing. However, understanding and challenging code/architecture is a must.
  • You understand that the best code is the code that solves the problem fastest and most securely.

Tools

  • Object-oriented Python, Numpy/Pandas, PyTorch, Scikit-learn.
  • Theoretical passion and understanding of both classic and newer ML algorithms.

What We Offer

  • Work from "Sweden's most beautiful office 2025" right in the heart of Stockholm.
  • An international environment with high tempo and entrepreneurial spirit, where your work makes a real difference.
  • Huge opportunities to develop alongside a team that genuinely loves what they do.
  • Become part of the leading venture builder reshaping the future of the financial industry.

Application

We care less about your CV and more about what you have actually built. Send us your GitHub or tell us about a project where you used AI to build something faster than should be possible.

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