TikTok
Senior Machine Learning Engineer, TikTok Trust and Safety
Seattle, Washington · Senior · Full-time · Posted Oct 28, 2026
- Experience
- Minimum 3 years in one or more of the stated areas.
- Education
- BS/MS degree in a listed or similar quantitative field.
About the job
Develop and deploy machine learning systems and models, including LLM-based solutions, to detect abuse and fraud and improve TikTok’s content moderation and online safety.
What you'll do
- Own a moderation-system submodule or research direction, including LLM applications in safety.
- Design and train neural network and LLM-based models, then build pipelines and deploy services at scale.
- Collaborate with engineering, product, and data analysis teams to improve moderation systems and trust and safety strategy.
What they ask for
- At least 3 years of experience in one or more of machine learning, deep learning, computer vision, or content understanding.
- BS/MS in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics, or a similar quantitative field.
- Skills in deep learning model training, serving, and optimization; proficiency with PyTorch and TensorFlow.
- Hands-on experience in at least one of machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, or related areas; strong coding skills, especially in Python and similar languages.
Nice to have
- Experience with large-scale online machine learning platforms.
- Experience in active learning, reinforcement learning, LLM, or trust and safety.
Tools
PyTorch, TensorFlow, Python, LLM, CV, NLP, Multimodal, Neural Network
AI focus
Build and apply machine learning, neural network, and LLM-based models for content moderation, abuse and fraud detection, and online safety.
Model-written summary · the original posting is authoritative