*Please note we are only able to consider candidates based in (or willing to relocate to) Finland, Poland, Italy, Germany, and the UK.*
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.
Our newest product is called ShelfView and is a platform for machine learning-powered retail shelf analytics that enables efficient and intelligent store operations. For example, we keep track of product identities, their locations and prices and generate alerts if irregularities are detected (e.g. the product is not available on the shelf). For more information, please check our product website.
We are now looking for a Senior computer vision / machine learning engineer to join the ShelfView team and work on creating digital twins of retail shelves. You will be responsible for evolving our current product by adding new features and optimizing the existing offering. You will work on applied computer vision problems, including 3D representations and machine learning algorithms to improve the methods our customers can establish, organize and update the digital representation of shelves in their supermarkets.
If these challenges sound interesting to you, we’d love to hear from you!
What You Will Do
- Focus on solving problems around (3D) reconstruction, representation and localization of retail shelves.
- Implement, analyze and improve end-to-end quality metrics for such digital shelf representations
- Be involved in all phases of model development including data collection, data analysis, prototyping, testing, but also optimizations for production readiness
- Help defining the architecture and provide technical leadership for the processing algorithms, in close collaboration with other team members
- Stay up to date with the latest research that is relevant to our work
- Extend our product offering to run in real-time and on the edge
- Mentor ML / CV engineers.
Who You Are
You have completed a MSc or PhD in the area of computer vision/deep learning and have at least 5 years of experience in solving computer vision problems. You have a proven track record of delivering state of the art computer vision algorithms and first hand experience bringing them from prototyping stage to production. More specifically, we are excited to hear from you if:
- You have a proven track record of developing high quality computer vision algorithms (e.g. publications, launched products)
- You are fluent in Python and another language (e.g. C/C++, Go or Rust)
- You have experience with relevant machine learning software packages (Pytorch, Tensorflow, scikit learn, OpenCV)
- You are skilled in software design, problem solving and debugging
- You can work independently as well as in a team
- You are creative and determined to solve real world problems, pay attention to details, but can take pragmatic shortcuts to reach our goals
- Ideally you have experience in building systems for visual localization and navigation (eg. SLAM), 3D reconstruction, visual representation or visual search
What We Offer
Here are just some of the reasons why people choose to build their career at Scandit:
- A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use
- Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw and Tampere.
- Excellent support for remote work across the UK, Italy, and Germany
- Innovation hackathons
- Global team outings
- Festive/end of year all company celebrations
- Your birthday off
- An attractive individual equity plan in a high growth company
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 and has most recently also opened an office in Tampere, Finland.
“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.
#LI-MB1