Computer Vision Engineer • Entry-Level

Who you are

You are a student with a strong passion for computer vision or machine learning, eager to apply your theoretical knowledge in a practical setting. You have a foundational understanding of algorithms and are excited to learn best practices used in the industry. You thrive in collaborative environments and are ready to contribute to an international team.

You possess a keen interest in enhancing algorithms and automated testing infrastructure, and you are motivated to tackle challenges in image processing and machine learning. Your curiosity drives you to explore state-of-the-art methods and improve existing technologies, making you a valuable addition to our engineering team.

What you'll do

In this role, you will engage in various projects that focus on computer vision and machine learning. You will conduct research on image to sequence models for barcode scanning, improving algorithms for surfaces with deformations, glare, or reflections. You will also enhance real-time visual tracking and pose estimation through the integration of additional sensor measurements and cutting-edge machine learning algorithms.

Your responsibilities will include improving our real-time visualization system to analyze and develop computer vision algorithms, as well as reducing manual steps in our image annotation tools with smart algorithms. You will work closely with experienced engineers, gaining insights into the product development process and contributing to meaningful projects that have a real impact on our technology.

What we offer

At Scandit, you will have the opportunity to apply your studies in a supportive environment that values innovation and collaboration. You will gain hands-on experience in product development and algorithm enhancement, setting a strong foundation for your future career. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse backgrounds contribute to our success.