Machine Learning Engineer

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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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 an engineer who is passionate about machine learning and has a solid track record in it, to work on deep learning applications for our computer vision pipelines. 

As a part of our growing team, you will be working with image processing and computer vision specialists to develop algorithms for real-time barcode decoding, text recognition and object detection for robust real-world performance. The solutions you develop will be running on hundreds of millions of mobile devices on which our real-time computer vision products are deployed today.

What You Will Do

  • Build systems to train models for challenging computer vision problems such as barcode detection and scanning with highly noisy images, image enhancement, visual text recognition, and many more
  • Implement model evaluation algorithms for mobile devices that run in real time, in high resolution and in challenging real life variations of scale and lighting
  • Apply machine learning algorithms to improve camera control and the performance of our barcode scanning algorithms
  • Build automated QA systems to guarantee robustness, speed and consistency

Who You Are

  • MSc or PhD degree in signal processing, computer science or a related field
  • Practical experience in machine learning (including deep learning) and image processing / computer vision
  • Familiar with architectures, modeling, capabilities and limitations of deep neural networks
  • Solid programming experience in C++ and/or Python (or a similar language)
  • Strong analytical mindset and attention to detail
  • Published work at relevant conferences (such as CVPR, ICCV, ECCV, etc.) and the desire to mentor other team members are a plus

 

Who We Are

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, Tokyo and Tampere. Over the years, our company has evolved into a world-class team of mobile image processing, cloud-computing and “Internet of Things” experts from around the globe.

“Everybody is welcome here” - Is a celebrated component of our DNA.

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Computer Science Computer Vision Deep Learning Drones Engineering Machine Learning PhD Pipelines Python

Perks/benefits: Conferences

Region: Europe
Country: Switzerland
Job stats:  33  6  0

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