Computer Vision Engineer for Real-Time Shelf Reconnaissance

vor 20 Stunden


Zürich, Zürich, Schweiz Scandit Vollzeit

About the Role

We are seeking a highly skilled Computer Vision Engineer to join our team in Zurich, Warsaw, or Tampere. The ideal candidate will have a strong background in computer vision and deep learning, with a proven track record of delivering state-of-the-art algorithms.

What You Will Do

  1. Design and implement end-to-end quality metrics for digital shelf representations.
  2. Be involved in all phases of model development, including data collection, analysis, prototyping, testing, and optimization for production readiness.
  3. Collaborate with the team to define the architecture and provide technical leadership for processing algorithms.
  4. Stay up-to-date with the latest research relevant to our work.
  5. Extend our product offering to run in real-time and on the edge.
  6. Mentor ML/CV engineers.

Requirements

  • A Master's degree or Ph.D. in Computer Vision/Deep Learning.
  • At least 5 years of experience in solving computer vision problems.
  • Proven track record of delivering high-quality computer vision algorithms (e.g., publications, launched products).
  • Fluency in Python and another language (e.g., C/C++, Go, or Rust).
  • Experience with machine learning software packages (PyTorch, TensorFlow, scikit-learn, OpenCV).
  • Strong software design, problem-solving, and debugging skills.
  • Ability to work independently and collaboratively as part of a team.
  • Creativity, determination, and attention to detail.

What We Offer

  1. A highly skilled team and a fun environment where you can apply your enthusiasm for cutting-edge technologies.
  2. Excellent office infrastructure optimized for hybrid working in Zurich, Warsaw, and Tampere.
  3. Global team outings, innovation hackathons, festive celebrations, and an attractive individual equity plan in a high-growth company.

Salary Range: €90,000 - €120,000 per annum, depending on experience, location, and qualifications.



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