Ai Research Engineer • Intern

Who you are

You are a motivated individual with a strong interest in machine learning and computer vision. You have a foundational understanding of deep learning architectures and are eager to apply your knowledge in a practical research setting. Your curiosity drives you to explore innovative solutions to complex visual understanding tasks, and you are excited about the opportunity to work alongside experienced researchers and engineers.

You possess a basic understanding of image-to-sequence modeling and are familiar with modern frameworks used in representation learning. You are open to learning and adapting to new technologies and methodologies, and you thrive in collaborative environments where you can contribute to meaningful projects.

What you'll do

In this internship, you will engage in research focused on advancing machine learning methods for structured visual data. You will design and experiment with new ML architectures, specifically targeting image-to-sequence modeling tasks. Your work will involve evaluating various modeling paradigms, including encoder-decoder and hybrid Transformer models, to enhance the robustness and generalization of visual applications.

You will collaborate closely with experienced ML researchers and engineers, contributing to cutting-edge research at the intersection of computer vision and sequence modeling. Your responsibilities will include investigating techniques for improving multi-view reasoning and running systematic experiments to validate your findings. This role offers a unique opportunity to contribute to long-term research efforts aimed at achieving higher performance in large-scale visual applications.

What we offer

Scandit provides a dynamic and inclusive work environment where diverse backgrounds and experiences are valued. You will have the chance to work on impactful projects that automate workflows and provide actionable insights across various industries. This internship is designed to last a minimum of 6 months, with the possibility of extending to 9-12 months based on your experience and performance. You will gain hands-on experience in a fast-evolving field and have the opportunity to learn from industry experts while contributing to innovative solutions.