tting-edge CV, NLP, multi-modality, LLM, generative modeling
- Following SoTA progress in relevant fields and transform the ideas into production
- Life-cycle model development, from model training, deployment, maintenance, till its use in business scenarios.
Qualifications
Minimum Qualifications:
- Currently pursuing PhD Degree.
- Experience in one of more areas of computer vision, natural language processing and machine learning.
- Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet).
- Strong analytical and problem solving skills. Ability to work collaboratively in cross-functional teams.
Preferred Qualifications:
- Degree in computer science, electrical engineering or related fields.
- Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship.
- Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR.