Machine Learning Engineer, Monetization Data Alignment
TikTok, Singapore
The role
We are looking for an experienced Machine Learning Engineer to join the Monetization Data Alignment team. This role sits at the intersection of AI labeling, content understanding, multimodal large models, and agentic systems. You will work on building the next generation of scalable intelligence capabilities that power TikTok monetization use cases, with a strong focus on high-quality data, multimodal reasoning, and production-grade ML systems.
In this role, you will contribute to both research and production: from exploring LLM/MLLM, Agent, and reinforcement learning techniques, to delivering robust systems for labeling automation, multimodal understanding, rule retrieval, agent development, and interpretable decision-making.
What you will do
- Design and develop machine learning solutions for AI labeling and content understanding in TikTok monetization scenarios, supporting ads, short video, and other monetization products.
- Apply and improve LLM/MLLM, NLP, CV, and multimodal learning techniques to enhance fine-grained understanding across text, image, audio, video, and live content.