Research Scientist Graduate (TikTok Trust and Safety) - 2027 Start(PhD)

Written by the T&S Network from TikTok's posting.

Builds computer vision, NLP and multimodal models that detect content and behavior violating community guidelines and related regulations on TikTok. The work sits in the algorithm team, which develops models that recognize violating content and optimizes the distributed training framework behind them.

• AI misuse and jailbreaks

What you'd do

• Develop computer vision or multimodal models to recognize violating content on TikTok.
• Explore large multimodal and vision models such as CLIP, BLIP, Flamingo and ViT variants.
• Apply LLMs to business scenarios, including pre-training, zero-shot and few-shot learning, and hard case mining.
• Continuously optimize the training framework so it handles training of large models.

What it asks for

• Completing or recently completed a PhD in computer science or a related discipline.
• Research experience in at least one of computer vision, multimodality, or LLMs.
• Proficiency with at least one deep learning framework such as PyTorch or TensorFlow.
• Strong analytical, problem-solving, logical thinking, communication and collaboration skills.
• Published papers at major AI conferences or journals such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on TikToknorth_east before you apply. If we got something wrong, report this listing.