Computer Vision Research Internship: Image to Sequence Modeling (e.g. Transformers)

• →Proficiency in Python and deep learning frameworks such as PyTorch.
• →Practical experience designing, training, and evaluating neural networks, including CNNs and Transformer-based architectures.
• →Strong analytical and problem-solving abilities, with the capability to interpret experimental results and iterate effectively.
• →Familiarity with research best practices, including reproducibility, controlled experiments, and ablation studies.

• Prior research experience in computer vision, pattern recognition, sequence modeling, or image-to-sequence architectures.
• Experience training large-scale models or working with foundation-style architectures.
• Contributions to publications, preprints, or open-source machine learning projects.

Strong communication skills and the ability to work independently in a research-oriented environment.

Could your code give 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 and provides actionable insights to help businesses in a variety of industries. This means we have no shortage of technical challenges for engineers like you. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.

“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.