Research Scientist Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2027 Start (PhD)
- San Jose, United States
- Internship
- Intern/New Grad
- PhD or doctorate
- Posted
Skills
Required
- deep learning framework
- PyTorch
- TensorFlow
Preferred
- LLM
- computer vision
- multimodality
- CVPR
- NIPS
- ICML
- ICLR
- TPAMI
Responsibilities
- Develop computer vision model or multimodality model to recognize violation content in TikTok
- Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)
- Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc
- Continuously optimize the training framework to better adapt to the training of large models
Requirements
- PhD candidate in computer science or a related technical discipline
- Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)
- Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills
Preferred
- Related Research Experience at least one of the following areas: computer vision, multimodality, LLM
- Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc
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