Role Description
* We are looking for a curious and motivated **Intern** who can read, understand, explain, and assist in developing cutting-edge research papers in the field of generative AI.
* This role is perfect for students or early researchers who enjoy diving deep into academic papers and summarizing complex ideas in a clear and concise way.
**Key Responsibilities:**
* Read and analyze recent research papers in computer vision (e.g., object detection, segmentation, generative models, vision transformers, etc.)
* Summarize key contributions, methodologies, and results from each paper.
* Create clear and concise write-ups or presentations to communicate insights with the team.
* Compare different approaches and suggest promising techniques for implementation
* Stay up to date with top conferences (CVPR, ICCV, ECCV, NeurIPS, etc.)
* In collaboration with the subject matter experts, you will assist in developing and implementing new use cases using artificial intelligence or machine learning.
**Qualifications:**
Must-have:
* Strong background in computer vision, machine learning, or a related field
* Familiarity with research papers and experience reading arXiv or conference papers
* Ability to explain complex technical concepts clearly and accurately
* Solid understanding of deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus, for implementation.
* Excellent communication skills – both written and verbal
* Good programming skills in Python
* You are an enrolled Master's student in the field of data science, (business) computer science, mathematics or a comparable course of study.
Nice-to-have:
* portfolio of machine learning / Gen AI projects (e.g. on Kaggle, Github)
**What We Offer:**
* Design your working hours to fit your semester schedule.
* You have the chance to contribute and implement your own ideas.
* Work in a motivated, diverse team and achieve great things together.
* Last but not least, you will gain a deep insight into the day-to-day business of the department.
* Send us your CV, GitHub (if available), and a short note on why you’re interested in **sethuraman@yoona.ai**.