Computer Vision Intern

Engineering & Technology - Germany 

You believe that food waste must be minimised? If you are passionate about machine learning and want to apply your knowledge to make a real impact this role is for you.

In your role as a Machine Learning Engineer you will be working on all parts of Kitro’s ML pipeline, on tasks ranging from data processing to model improvements and even AI infrastructure-related tasks. You will base your work on already existing data processing workflows and models. A high performing, robust and yet flexible ML pipeline is key for Kitro’s business and you will contribute to this solution with your expertise.

Your Job & Responsibilities

In your role as a Computer Vision Intern, you will be implementing algorithms to improve the quality of images captured by Kitro’s device. You will be writing code that will run on an embedded device and that needs to be compatible with already-existing image capturing and processing software.


  • Develop algorithms that improve the image capturing process and the image quality and implement algorithms on an embedded device in a dockerized environment
  • Potentially experiment with ML algorithms on the embedded system
  • Help to improve the performance and robustness of our existing ML pipeline

Skills and Requirements

  • Enrolled in a Master's programme in Computer Science, Machine Learning, Robotics, or a related field
  • Good knowledge of computer vision algorithms
  • Experience with Machine Learning on a university level
  • Experience with Python and C++ on a university level
  • Experience with Docker is a plus

What we offer you and who we are

  • Flexible working hours
  • Young and motivated team members
  • Get insights into a start-up and experience a dynamic and fast-paced environment
  • Get hands-on experience with computer vision and machine learning in production

Your turn! How to apply

Please send your CV including references, degrees and a motivation letter. Send your application to

Next Steps

Please send your complete application directly via email to We will get back to you as soon as possible with the next steps.

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