Join our AI Software team as a Computer Vision Intern and help build intelligent systems that can perceive and understand the context in virtual environments.
Requirements
- Develop and evaluate visual recognition and scene understanding models using techniques such as object detection, tracking, and segmentation.
- Contribute to data preprocessing, augmentation, and annotation workflows for training datasets.
- Assist in performance benchmarking and fine-tuning deep learning models.
- Collaborate with mentors to analyze experimental results and improve model accuracy.
- Document workflows, findings, and best practices.
Benefits
- Gain hands-on experience in computer vision model development and AI experimentation.
- Learn about deep learning architectures for visual tasks (CNNs, Transformers, detection models, VLMs).
- Understand practical aspects of dataset management and model evaluation pipelines.
- Improve collaboration and communication skills in a research-driven engineering environment.