Machine Learning Engineer

Job description

Machine Learning Engineer

At Stampix we believe your best photos deserve a place in the real world. It’s our mission to make photoprinting fast, fun & free for everyone. Last year we printed & delivered over +3mio photos for free thanks our partnering brands who advertise on the back of these photos. For our software engineering team, we are looking for a Machine Learning Engineer to help us build a seamless ordering experience.


As a Machine Learning Engineer you play a crucial role within Stampix. You are responsible for engineering photo recommendation solutions that will largely improve the UX of our customers. By excelling in your role you will have a huge impact on the company’s growth.


The machine learning world is ever-changing. In order to deliver the perfect user experience, we need a level of perfectionism from the entire team.


A natural-born curiosity about the technology stack Stampix employs is necessary. This general overview helps building towards the future & provides endless opportunities to learn.

  • Good knowledge of English
  • Proficient with Python
  • Proficient with ML frameworks such as Tensorflow, Keras, ..
  • Sufficient understanding of contemporary web & mobile technologies
  • Experience with machine learning on the edge is a big plus
  • Experience with Android & iOS specific is a plus
  • Experience with machine learning with AWS is a plus
  • Able to participate to good software architecture by writing reusable and modular code
  • Ambition to build a career in engineering
What to expect

Stampix is a fast-growing and dynamic startup where you get the opportunity to learn a lot and contribute to the company’s growth. In your role as Machine Learning Engineer you:

  • Become part of a young team in the bustling city of Ghent

  • Work closely with the Stampix’ Founders and CTO

  • Help deciding the optimal product development strategy

  • Write state-of-the-art code for applications used by thousands of consumers

  • Work flexible hours and location

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