Summary
Join us as we continue to expand, grow, innovate, and help take Scandit to the next level by working on creating digital twins of retail shelves.
Requirements
- You have completed a MSc or PhD in the area of computer vision/deep learning
- You 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
- 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
Responsibilities
- 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
Benefits
- 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, France, Italy, Spain, 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