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veröffentlicht am 15. September 2021
At Scandit, we develop real-time computer vision solutions for smartphones, wearables and robots that combine modern machine learning approaches with computer vision. To expand our engineering team, we are looking for a Web Developer to work on our analytics infrastructure.
Our analytics infrastructure handles non-trivial amounts of data: tens of billions of analytics events from hundreds of millions of devices. Our analytics database of choice is Clickhouse which we use to aggregate data in near-realtime. To help us handle another 10x increase in scale, we are looking for someone to continue improving the analytics pipeline and develop new ways to present our data in analytics dashboards.
***Please note as much as this is a remote position we will only be considering candidates based within two hours of Central European Time in order to preserve our teams collaborative culture***
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.
Scandit’s 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.
Scandit was founded by a group of researchers from ETH Zurich and MIT. The company is headquartered in Zurich and is also represented in Boston, London, Warsaw and Tampere. Over the years, our company has evolved into a world-class team of mobile image processing, computer vision, machine learning and “Internet of Things” experts from around the globe.
10. September 2021
08. September 2021