TikTok
(General Hire) Multi-modal Machine Learning Engineer - Trust and Safety
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- 2+ years of related experience.
- Education
- BS/MS degree in a listed or similar quantitative field.
About the job
Build and deploy machine learning models and systems that understand and moderate content to protect TikTok users and improve platform safety.
What you'll do
- Build content-understanding models for content moderation, including classifiers, graph models, representation-learning models, and LLMs.
- Partner with product, engineering, and data science teams to define objectives, shape safety strategies, and develop data-driven solutions.
- Deploy models and build online workflows and serving pipelines at scale.
What they ask for
- BS/MS in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics, or a similar quantitative field.
- 2+ years of related experience.
- Hands-on experience in machine learning (CV/NLP/Multimodal/Graph/LLM), statistical models, or applied mathematical methods.
- Strong coding skills, especially in Python and similar languages.
Nice to have
- Experience in LLM, multimodal modeling, or representation learning, and/or AI/ML conference publications.
- Understanding of content-understanding and content-moderation business value; experience developing online ML systems, including ranking or retrieval.
Tools
Python, CV, NLP, Multimodal, Graph, LLM
AI focus
Develop content-understanding and moderation models, including unimodal and multimodal classifiers, graph models, representation-learning models, and LLMs; deploy them in online systems at scale.
Model-written summary · the original posting is authoritative