Engage in exciting projects involving advanced computer vision and machine learning algorithms within a dynamic international team.
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.
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.
We have many interesting projects to offer. Depending on your background and interests, you could work on one of the following projects:
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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Scandit builds smart data capture technology that turns mobile devices into powerful enterprise-grade barcode scanners. Designed for businesses across various industries, it helps users efficiently extract and analyze data from barcodes, text, IDs, and objects, streamlining workflows and driving innovation.
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Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Machine Learning Engineer Q&A's