TikTok
Machine Learning Engineer Graduate - (TikTok Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Start(PHD)
Seattle, Washington · Full-time · Posted Oct 28, 2026
- Education
- Ph.D. in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics, or a similar quantitative field.
About the job
Develop content-understanding machine learning models and optimize distributed training to detect content and behaviors that violate TikTok’s guidelines and regulations.
What you'll do
- Develop content-understanding techniques, including unimodal and multimodal classifiers, active learning, reinforcement learning, and large language models.
- Collaborate with product, engineering, and data science teams to shape trust and safety strategies and deploy scalable model workflows and serving pipelines.
- Continuously optimize the distributed model training framework.
What they ask for
- Ph.D. in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics, or a similar quantitative field.
- Hands-on or academic experience in machine learning, large language models, recommendation systems, or related areas.
- Strong coding skills.
- Curiosity about new technologies and entrepreneurship, with good communication and teamwork skills.
Tools
computer vision, NLP, multimodality models, machine learning, Large Language Models, Recommendation Systems, Active learning, Reinforcement learning
AI focus
Develop and deploy content-understanding models for trust and safety, including multimodal classifiers, active learning, reinforcement learning, and large language models.
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