CV/NLP/Multimodal LLM Machine Learning Engineer Graduate (Trust and Safety Platform) - 2027 Start (PhD)

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

Builds computer vision, NLP and multimodal models that recognize content violating TikTok's community guidelines, within the Algo team that protects the platform and its users. The team's work covers the content understanding models used to flag violating content, along with the distributed training framework those models depend on.

• AI misuse and jailbreaks

What you'd do

• Develop computer vision or multimodal models that recognize violating content on TikTok.
• Explore and adapt large multimodal and vision models such as CLIP, BLIP, Flamingo and ViT-22B.
• Investigate LLM applications like pre-training, zero-shot and few-shot learning, and hard case mining.
• Continuously optimize the distributed training framework for large model training.

What it asks for

• Doctorate in computer science, computer engineering or an adjacent field, finished or close to finishing (required).
• Proficiency with at least one deep learning framework such as PyTorch or TensorFlow (required).
• Experience building computer vision or multimodal models (stated as ideal).
• Strong analytical, problem-solving, communication and collaboration skills (required).
• Publications in top AI conferences or journals such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR (preferred).

Worth knowing

• Graduate role requiring commitment to an onboarding date by the end of the year.

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.