• 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.