Computer Vision/Machine Learning Intern

Zürich

Applications have closed

Scandit

Get actionable insights and automate end-to-end processes by capturing data from barcodes, text, IDs and objects. Unmatched speed, accuracy and intelligence with smart data capture.

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Scandit is a high-growth tech scaleup from Switzerland with offices in Zürich, San Francisco, Boston, Warsaw, London and Tampere.

Our technology for recognizing any barcode with any mobile phone is leading in the market today. Our vision is to become tomorrow's marked leader for recognizing not only barcodes, but also text and objects, becoming the number one mobile computer vision company for the enterprise.

We are looking for students with a passion for computer vision and machine learning to join our Zurich team and help us revolutionize the traditional barcode scanner and text recognition market with our innovative mobile solutions for smartphones, tablets and wearable devices.

You will be part of the computer vision team and help us improve and extend our product and its automated testing and release infrastructure.

Scandit is a great place to apply the theory from your studies and learn best practices used in the industry in an international team.

Take a look at our products:

What You Will Do

We have many interesting projects to offer. Depending on your background and interests, you could work on one of the following projects:

  • Implement new features in our industry-leading Scandit Barcode Scanner SDK
  • Evaluate experimental computer vision and machine learning algorithms that have the potential to improve the performance of our product
  • Optimize our products for embedded Linux devices (such as the NVIDIA Jetson TX2) and mobile phones
  • Enhance tracking and augmented reality capabilities of our solutions
  • Work on challenging object and text recognition problems and evaluate different experimental real-time algorithms

Who You Are

  • Highly motivated student, interested in an internship of 6 months
  • Enrolled in or completed a bachelor’s or master’s program in computer science or a related field
  • Solid knowledge of data structures and experience in object-oriented programming
  • If you are interested in working on the core image recognition algorithms, solid C++ programming skills will be needed
  • Knowledge in computer vision or machine learning is a plus

 

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
  • A highly skilled and helpful team of international researchers, scientists and engineers to work with
  • Hackathons, summer 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.)
  • A salary during your internship

 

Who We Are

Scandit is a high-growth tech scale-up from Switzerland with offices in Zurich, San Francisco, Boston, Tampere, Warsaw and London.

Scandit enables enterprises and consumers to change the way they interact with everyday objects and augment the physical world with real-time data captured by scanning barcodes and recognizing text, objects, and other visual identifiers using smartphones, tablets, wearables, drones and robots.

Our mobile data capture platform is built on proprietary computer vision, augmented reality, and machine learning technologies. Companies in industries such as retail, transportation & logistics, manufacturing, and healthcare can use Scandit’s technology to create and power mobile apps for crucial enterprise workflows like mobile point of sale, mobile shopping, self-checkout, inventory management, and proof of delivery.

Many of the world’s most innovative and successful companies are benefiting from Scandit’s enterprise-grade mobile data capture platform, including Sephora, Nissan, DHL, and Levi Strauss & Co.

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Tags: Computer Science Computer Vision Drones Linux Machine Learning Nvidia Jetson OOP Testing

Perks/benefits: Career development Startup environment Team events

Region: Europe
Country: Switzerland
Job stats:  123  24  1

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