Intern Researcher - Efficient Computing

Our team has an internship opening for a Researcher.
Responsibilities:

• Developing new ideas and contributing to the synthesis of novel AI4Net solutions.
• Keeping track of the latest progresses in the (selected) AI/ML areas (especially efficient training, pruning, knowledge distillation).
• Design, implement and integrate models and algorithms.
• Perform experiments and evaluate, analyze and drive insights from experiments.
• Contributing to the proposal of high-impact intellectual properties (e.g., patents), publishing of research papers in top-tier AI/ML.
  

What you’ll bring to the team:

• A Ph.D. or a Master in Computer Science, Electrical and Computer Engineering, or a related field
• Hands-on experience and excellent knowledge with at least one deep learning architecture (e.g., Transformer, CNNs, RNNs, AEs)
• Strong coding skills in one of the popular programming languages, e.g., Python, C/C++, Java
• Experience with AI/ML coding tools, e.g., Pytorch or Tensorflow
• Project experience on efficient AI models (linear Transformers, state space models and etc.), training and inference (pruning, knowledge distillation, quantization and etc.) is a huge asset
• Project experience on LLMs, VLMs and ViT is an asset
• Publications in top tier AI/ML conferences are assets
• Good communication skills, willingness to collaborate, self-motivated