Computer Vision/Machine Learning Internship

Zurich

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 Zurich, Boston, Warsaw, London, Singapore, Tokyo, and Tampere. Our market-leading smart data capture technology enables businesses to use any standard mobile phone to extract data from barcodes, ID documents, text, and objects. 

The development teams at Scandit build cutting edge computer vision and machine learning solutions. Our mission is to replace every laser scanner in the world with a Scandit powered mobile app and improve the workflows of our customers through augmented reality and mapping solutions.

About the Internship

We are looking for students with a passion for computer vision or machine learning to join one of the teams in Zürich for four to six months. You will be a part of product development and you will help us improve and extend algorithms and their automated testing 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.

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:

  • Improve barcode scanning algorithms in difficult scenarios such as surfaces with deformations, glare or reflections
  • Enhance the real-time visual tracking and pose estimation system of our solutions through the integration of additional sensor measurements and cutting-edge machine learning algorithms
  • Program mobile graphics processors (GPUs) to accelerate computer vision algorithms
  • Enhance our real-time visualization system to analyze and develop our computer vision algorithms
  • Reduce manual steps in our image annotation tools with smart algorithms
  • Develop image classification, matching and / or reconstruction features in order to improve the algorithms for understanding the current state of shelves and products in supermarkets.

Our Tech Stack

  • Computer vision algorithms: C++17, CMake
  • Machine learning training and tooling, cloud processing: Python, Pytorch
  • Acceleration: SIMD, Vulkan, CoreML
Who You Are
  • Highly motivated student, interested in an internship of four months or longer
  • Enrolled in or completed a bachelor’s or master’s program in computer science, information technology, robotics or a related field
  • Solid knowledge of data structures and experience in object-oriented programming
  • You have taken courses in computer vision, image processing and/or machine learning
  • Ideally you already had some exposure to solving a computer vision problem in a semester project or thesis
  • If you are interested in working on the core image recognition algorithms, solid C++ programming skills will be needed
  • Python programming knowledge 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
  • Hackathons, summer parties, company outings and other regular events
  • Office in the city of Zürich (Hardbrücke)
Who We Are

Could your code give superpowers? Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. This means we have no shortage of technical challenges for engineers like you. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applications will receive consideration for employment without regard to race, colour, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed.

 

Tags: C++ Classification CMake Computer Science Computer Vision CoreML Machine Learning OOP Python PyTorch Robotics SIMD Testing Vulkan

Perks/benefits: Career development Startup environment Team events

Region: Europe
Country: Switzerland
Job stats:  302  75  0

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