Research Scientist Graduate - (Trust and Safety, CV/NLP/Multimodal LLM) - 2026 Start(PhD)

What you'll do

• Develop computer vision or multimodal models to recognize violating content.
• Explore large models and LLM applications such as pre-training, zero-shot/few-shot learning, and hard case mining.
• Continuously optimize the training framework for large models.

What they ask for

• Completing or recently completed a PhD in Computer Science, Computer Engineering, Software Development, or a related technical discipline.
• Research experience in at least one of computer vision, multimodality, or LLM.
• Proficiency 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

• Papers published in accredited academic conferences or journals, such as CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, or IJCV.

Tools

PyTorch, TensorFlow, CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G

AI focus

Develop content-understanding computer vision and multimodal models for detecting violating content; explore multimodal and computer vision large models and LLM applications, and optimize large-model training.