Research Scientist Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2027 Start (PhD)

What you'll do

• Develop computer vision or multimodal models to recognize violating content.
• Explore large vision and multimodal models and LLM applications, including pre-training, zero-/few-shot learning, and hard case mining.
• Optimize training frameworks for large-model training.

What they ask for

• PhD candidate in computer science or a related technical discipline.
• Research experience in at least one of computer vision, multimodality, or LLM.
• Proficient with at least one deep learning framework, such as PyTorch or TensorFlow.
• Excellent analytical, problem-solving, logical thinking, communication, and collaboration skills.

Nice to have

• Published papers in top AI conferences or journals, such as CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, or IJCV.

Tools

CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, PyTorch

AI focus

Research and develop computer vision, multimodal, and LLM systems for Trust and Safety content detection.