Data Science Intern - Computer Vision & Machine Learning Research

📋 Description

• Design and evaluate DL models for document understanding and synthetic artifact detection.
• Apply CNNs, Transformers, and multimodal models to real-world datasets.
• Experiment with novel architectures, losses, and training strategies.
• Perform error analysis and model interpretability investigations.
• Contribute to research discussions, technical docs, and deployment pipelines.

🎯 Requirements

• Current Master's or PhD student in CS, EE, or related field.
• Strong ML and computer vision foundation.
• Experience with CNNs, Transformers, or DL architectures; LLM/multimodal a plus.
• Strong Python programming; PyTorch or TensorFlow experience.
• Proven problem-solving and experience with technical or research projects.
• Clear written and verbal communication skills.