Senior Machine Learning Engineer, TikTok Trust and Safety

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

Builds machine learning models and systems that detect and defend against internet abuse and fraud on a large short-video platform. The team sits in the Trust and Safety R&D group and works on the platform's moderation systems, including LLM-based safety models deployed to the global user base.

• Fraud and scams

What you'd do

• Own a sub-module of the moderation system or a research direction, including LLM applications in safety.
• Design next-generation moderation systems using new technologies with team members.
• Build neural network and LLM-based models to address online safety problems on the platform.
• Work with data analysts to find and understand patterns in platform data.

What it asks for

• 3+ years in machine learning, deep learning, computer vision, or content understanding.
• Deep learning model training, serving, and optimization across CV, NLP, or neural network work.
• Proficiency with PyTorch and TensorFlow.
• Hands-on experience with CV, NLP, multimodal, active learning, LLMs, or recommendation systems.
• Strong coding skills in Python or similar languages.
• Experience with large-scale online machine learning platforms (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.