Work with Gamechangers

Senior Machine Learning Researcher at Scandit
Zurich, CH

What You Will Do

  • Build systems to train models for challenging object and visual text recognition problems
  • Implement model evaluation algorithms for mobile devices that run in real time
  • Extract new insights from our analytics data to improve the performance of our products
  • Apply machine learning algorithms to improve the performance of our barcode scanning algorithms
  • Build automated QA systems to guarantee robustness, speed and consistency

Who You Are

  • MSc or PhD degree in computer science or a related field
  • 2+ years of practical experience in machine learning, including deep learning (industry or academia)
  • Practical experience in computer vision / image processing (industry or academia)
  • Familiar with architectures, modeling, capabilities and limitations of deep neural networks
  • Experience in C++ and Python (or a similar language)
  • Published work at relevant conferences (such as CVPR, ICCV, ECCV, etc.) and the desire to mentor other team members are a plus

Who We Are

We help businesses augment the physical world with relevant digital information in real time. We enable Internet of Things applications and have companies such as NASA, DHL or Macy’s among our customers.

Engineering culture is really the DNA of Scandit, with all three founders having a PhD in computer science. We have bi-weekly tech talks, enjoy flat hierarchies and share a passion for high-quality in everything we do.

What We Offer

  • A highly skilled team and a fun environment where you can put your enthusiasm for computer vision challenges and cutting-edge technologies to use
  • Flexible working hours and the opportunity to travel
  • A highly skilled and helpful team of international researchers, scientists and engineers to work with
  • Hackathons, Christmas fondue parties, company outings and other regular events
  • A lab with state-of-the-art hardware (such as a UR robot, Microsoft Hololens, Vuzix, Google Glass, etc.)
  • Phantom stock option plan to participate in the success of our startup