Scandit gibt Menschen Superkräfte. Werde Teil unseres Teams!
Aufgaben
- Verbessere Algorithmen für die Barcode-Scannung in schwierigen Szenarien.
- Erweitere unser Echtzeit-Tracking- und Schätzsystem mit ML-Algorithmen.
- Entwickle Bildklassifikations- und Matching-Funktionen für Supermärkte.
Fähigkeiten
- Du bist Student:in in Informatik oder verwandten Bereichen.
- Gute Kenntnisse in C++ und Python sind von Vorteil.
- Interesse an Computer Vision und Machine Learning.
Scandit gives people 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. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.
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 offers an excellent opportunity to apply the theory from your studies while gaining hands-on experience with industry best practices in a 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 Enhance our object and context detection systems by developing, refining, and integrating state-of-the-art machine learning algorithms tailored to our specific domain 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
We are certified as a “Great Place to Work”
in 10 countries! 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)
Imagine the What. Build the How.
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.
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