Machine Learning Engineer, Monetization Data Alignment

Role Overview

Join TikTok’s Monetization Data Alignment team as a Machine Learning Engineer to enhance the understanding, labeling, and structuring of commercial content across TikTok’s monetization platforms such as ads, e-commerce, short video, and live streaming. This role combines advanced machine learning research and engineering to develop scalable, production-grade systems that improve content understanding and operational efficiency.

Key Responsibilities

• Architect and implement machine learning models focused on AI labeling and content comprehension within monetization use cases including advertisements and short videos.
• Leverage and advance techniques in Large Language Models (LLM), Multimodal Large Language Models (MLLM), natural language processing, computer vision, and multimodal learning to enable nuanced understanding of text, images, audio, video, and live content.
• Create and enhance algorithms for label automation, recognition of user intent, taxonomy and tag generation, rule retrieval, risk detection, and evaluating data quality to boost model accuracy and efficiency.
• Investigate and operationalize agent-based systems and reinforcement learning strategies for intricate decision workflows involving multi-step reasoning, tool utilization, and adaptive content evaluation.
• Develop trustworthy, interpretable model outputs through chain-of-thought reasoning, explanatory output generation, and traceable decision frameworks to improve user and stakeholder confidence.

Required Qualifications

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related disciplines.
• At least 3 years’ experience working with machine learning or applied AI, with practical involvement in transitioning models or systems from development to production environments.
• Strong grounding in machine learning and deep learning domains, particularly in LLM/MLLM, NLP, computer vision, multimodal representation learning, or agent-based intelligent systems.
• Proven expertise in training, fine-tuning, evaluating, deploying, and performing inference with large models, alongside knowledge of techniques such as prompting, supervised fine-tuning, retrieval-augmented generation, chain-of-thought reasoning, model alignment, and agent workflows.
• Capability to decompose complex business challenges and deliver practical ML solutions in a fast-paced, cross-functional team setting.
• Effective communication skills in English enabling smooth collaboration with global teams in research, product, engineering, and operational units.

Preferred Qualifications

• Experience in AI-based labeling, content understanding specific to advertising, multimodal tagging, taxonomy construction, or managing data quality systems is highly valued.
• Familiarity with agent frameworks, reinforcement learning (including RLHF/RLAIF), autonomous decision-making platforms, and multi-step reasoning processes.
• Evident track record of research or innovation through scientific publications, patents, open-source contributions, or impactful internal technical projects.
• Publications in renowned conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, WWW, AAAI, or IJCAI signify a strong candidate.

About TikTok

TikTok is a leading platform for short-form mobile videos dedicated to fostering creativity and delivering joy. With headquarters in Los Angeles and Singapore, along with offices worldwide, TikTok operates a diverse and innovative workplace culture.

Why Work With Us

At TikTok, inspiring creativity shapes our mission. Our multifaceted teams build products that encourage genuine self-expression, connection, and discovery. We cultivate curiosity, humility, resiliency, and a continual "Always Day 1" attitude to collectively innovate and meet new challenges. Our inclusive environment values diverse perspectives from all over the globe, aligning with our commitment to celebrate diversity and foster an atmosphere where everyone can contribute and thrive.

Diversity and Inclusion

TikTok is devoted to creating an inclusive workplace that respects diverse talents, experiences, and viewpoints. Our global platform connects varied communities, and we aim to reflect these communities in our workforce while enthusiastically supporting diverse voices.