Computer Vision Engineer

vor 2 Monaten


Zollikofen, Bern, Schweiz Xovis AG Vollzeit

About Xovis AG

Xovis AG is a leading provider of intelligent people flow solutions, serving international markets and addressing challenges in airports, retail, transportation, and building management. Our Swiss-made hardware and software optimize people flow while respecting data privacy, creating a sense of safety and comfort for people on the move.

Our Technology

Our highly precise 3D stereo vision technology, combined with AI, is the foundation for our success. This innovative approach enables us to develop cutting-edge solutions that meet the needs of our customers.

Your Role

We are seeking an experienced and passionate machine learning engineer to play a key role in the development of our vision-based algorithms. As a member of our interdisciplinary research and development team, you will be responsible for:

  • Building, training, and testing state-of-the-art machine learning models for computer vision tasks
  • Optimizing models for embedded devices
  • Staying up-to-date with the latest developments in the field and evaluating their relevance for our applications
  • Collaborating with your team members to build a great product that generates value for our customers

Your Background

To be successful in this role, you will need:

  • A strong background in computer vision, machine learning/deep learning, and programming, with a Master's or PhD degree in a related subject (computer science, robotics, physics, mathematics, or similar)
  • Proven competence in ML engineering and problem-solving, preferably in computer vision
  • A hands-on mentality and a passion for solving challenging problems
  • A self-motivated approach and a willingness to help us expand our technology leadership
  • Experience in programming with C++ is a plus
  • Fluency in English is mandatory, German is optional but welcome

What We Offer

We provide a highly motivated and supportive team with a pioneering spirit and open knowledge-sharing culture. You will have the opportunity to develop yourself in an environment with flat hierarchies, flexible working hours, and a familiar environment with regular formal and informal events.



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