Description

In this internship, you will collaborate with experienced ML researchers to advance machine learning methods for complex visual understanding tasks, focusing on innovative model design and extensive experimentation that could impact millions of users.

Requirements

• •MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field
• •Proficiency in Python and deep learning frameworks such as PyTorch
• •Practical experience designing, training, and evaluating neural networks
• •Strong analytical and problem-solving abilities
• •Familiarity with research best practices
• •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 ability to work independently

Tasks

• •Design and experiment with new ML architectures for structured visual data
• •Evaluate alternative modeling paradigms, including encoder-decoder and hybrid Transformer models
• •Investigate techniques to enhance robustness, generalization, and multi-view reasoning
• •Run systematic experiments, ablations, and error analyses to validate research hypotheses

Tools & Technologies

Benefits