Machine Learning Engineer, Monetization Data Alignment

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.

Responsibilities
- 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.
- Build algorithms and systems for labeling automation, intent recognition, taxonomy/tag generation, rule retrieval, risk detection, and quality evaluation, improving both model accuracy and operational efficiency.
- 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 to improve trustworthiness and operational usability of model outputs.

Qualifications

Minimum Qualification(s)
- 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 techniques such as 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 in a fast-paced environment.

Preferred Qualification(s)
- Experience in AI labeling, content understanding, ads understanding, multimodal tagging, taxonomy systems, or data quality systems is highly preferred.
- Familiarity with Agent, reinforcement learning, RLHF/RLAIF, autonomous decision systems, or multi-step reasoning pipelines.
- Track record of strong research or innovation output, such as publications, patents, open-source contributions, or high-impact internal technical projects.
- Strong communication skills in English, and the ability to work effectively with global teams across research, product, engineering, and operations.
- Publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, WWW, AAAI, IJCAI, or related areas are a strong plus.

Client-provided location(s): Singapore

Job ID: TikTok-7642654405030676741

Employment Type: OTHER

Posted: 2026-05-26T20:21:06