Conduct research and develop algorithms in the neural network-based image and video compression, model compression, and acceleration, image and video restoration, and Vision Transformer.
Conduct research and development for unsupervised learning, LLM training, contrastive learning, and multi-modal learning.
Develop demo applications.
Summarize the developed algorithms into academic papers and patent applications.
Requirements & Skills:
Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Mathematics, Statistics, or close related field with relevant research experience.
Excellent knowledge of theory and practice of machine learning and deep learning.
Knowledge of application areas such as language modal and computer vision.
Strong experience with deep learning frameworks such as Huggingface or PyTorch.
Solid programming skills with Python.
Proven track record of academic publication in top conferences and journals.
Strong communication and interpersonal skills and the ability to work in a dynamic, global team.
