About the job
We are building the next generation of content safety and governance systems at TikTok, with a strong focus on protecting minors and teens at global scale. Our team sits at the intersection of product, policy, and AI, leveraging large language models and multimodal technologies to design safety mechanisms that are proactive, scalable, and measurable. We work closely with Policy, Legal, Algorithm, and Engineering teams to translate complex regulatory and safety requirements into real-world product solutions that protect users while preserving a high-quality user experience.
Responsibilities
- Own model strategy and operations for TikTok Minor Safety, working closely with cross-functional teams to participate in the end-to-end process of model design, optimization, training, and evaluation. Identify performance gaps and vulnerabilities in models, and propose effective actions to continuously improve model quality.
- Participate in the full data production lifecycle, including defining dataset standards, executing model evaluations, and ensuring high-quality data delivery.
- Explore and adopt the latest Large Language Model (LLM) tools to continuously optimize data production workflows and processes, improving efficiency and scalability. Stay up to date with industry trends to help build more intelligent and efficient data systems.
- Research emerging model training methodologies from both academia and industry, identify weaknesses in existing training data, and propose innovative solutions to improve data generalization, production efficiency, and coverage.
Qualifications
Minimum
- Relevant work experience with a bachelor’s or master’s degree or above in Computer Science, English, Statistics, Philosophy, or related fields.
- Solid foundational understanding of machine learning, including Large Language Models (LLMs) and Transformer architectures.
- Strong project management and operational skills, with a good understanding of end-to-end project workflows. Ability to collaborate efficiently in cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
Preferred
- Experience in Trust & Safety, content moderation, or familiarity with content safety compliance requirements is a strong plus.
- Hands-on experience in data analysis or model optimization is preferred.