Monetization ML Engineer: Data Labeling & Multimodal AI

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok is seeking an experienced Machine Learning Engineer to join the Monetization Data Alignment team in Singapore. You will work at the intersection of AI labeling, content understanding, and multimodal large models to power monetization use cases with high-quality data and robust ML systems.

You will contribute to both research and production, exploring LLM/MLLM, agent, and reinforcement learning techniques, and delivering scalable labeling automation, multimodal understanding, rule

Qualifications

• Bachelor’s degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields.
• 3+ years of experience in machine learning, applied AI, or related algorithm engineering roles, with hands-on experience in taking models or AI systems from experimentation to production.
• Solid foundation in machine learning and deep learning, with strong understanding of one or more of the following areas: LLM/MLLM, NLP, CV, multimodal learning, representation learning, or intelligent agents.
• Hands-on experience with large model training, fine-tuning, evaluation, inference, or deployment; familiarity with prompting, supervised fine-tuning, retrieval augmented generation, chain-of-thought style reasoning, model alignment, or agent workflows.
• Ability to break down ambiguous business problems, design practical ML solutions, and collaborate effectively with cross-functional stakeholders.
• Strong communication skills in English, and the ability to work effectively with global teams across research, product, engineering, and operations.

Responsibilities

• Design and develop machine learning solutions for AI labeling and content understanding in TikTok monetization scenarios.
• Apply and improve LLM/MLLM, NLP, CV, and multimodal learning techniques to enhance fine-grained understanding across text, image, audio, video, and live content.
• Build algorithms and systems for labeling automation, intent recognition, taxonomy/tag generation, rule retrieval, risk detection, and quality evaluation.
• Explore and productionize Agent and RL based approaches for complex decision‑making workflows, including multi-step reasoning, tool use, and adaptive content analysis.
• Develop interpretable solutions such as CoT-style reasoning, explanation generation, and traceable decision logic.

Skills

LLM/MLLM

NLP

CV

Multimodal learning

Agent workflows

English comms

Production ML

Education

Bachelor's degree or above in CS/AI/Math

Job description

TikTok is seeking an experienced Machine Learning Engineer to join the Monetization Data Alignment team in Singapore. You will work at the intersection of AI labeling, content understanding, and multimodal large models to power monetization use cases with high-quality data and robust ML systems.

You will contribute to both research and production, exploring LLM/MLLM, agent, and reinforcement learning techniques, and delivering scalable labeling automation, multimodal understanding, rule