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Machine Learning Intern

The Hague, Netherlands (Preferred) / Tampere, Finland (Hybrid Option Available)

Job Type




Company Overview:

At RESONIKS, we're blending acoustics with artificial intelligence to revolutionize quality control in metal manufacturing. As we embark on our scaling journey, we're inviting a creative and skilled Sales Intern to join our team and contribute to a sustainable and quality-driven future.

The Role:

We are seeking a dynamic intern with a flair for Machine Learning to help us improve our pipeline for analyzing collected data for model training. If you're a master's student excited about AI and have some experience with Python and PyTorch, this opportunity is perfect for you!

This Internship Is For You, If You:

  • Want to be a part of an innovative team at the intersection of AI and manufacturing.

  • Have the desire to work on real-world machine learning applications.

  • Want to contribute to cutting-edge technology that makes a difference.


  • Develop a pipeline to analyze, select, and visualize high-quality data from sensor collected data for model training.

  • Use your skills in Python and PyTorch for pipeline development and model training.

  • Collaborate in a fast-paced environment and contribute fresh ideas.


  • Currently pursuing a Master's degree in a related field (e.g., Computer Science, Engineering).

  • Basic knowledge of Python and PyTorch.

  • Interested in working with acoustic and audio data

  • Interest in AI, machine learning, and data quality.

  • Good problem-solving and communication skills.

Working at RESONIKS:

  • Immerse yourself in a pioneering company at a pivotal stage of growth

  • Address cutting-edge AI challenges in a vibrant, innovative environment.

  • Receive a competitive internship compensation and a personal development budget.

  • Embrace our culture of diversity, inclusivity, and open dialogue.

  • Enjoy regular team events celebrating our shared success.

Ready to kick-start your career in the world of quality and sustainability in manufacturing? Apply now by sending your CV and a concise motivation letter to Let’s resonate with the future of quality and sustainability together.

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