Model Policy Lead

Model Policy Lead - Video Policy, Trust & Safety
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Responsibilities
TikTok’s Trust & Safety team is seeking a Model Policy Lead for Short Video and Photo to govern how enforcement policies are implemented, maintained, and optimized across both large-scale ML classifiers and LLM-based moderation systems. You will lead a team at the center of AI-driven Trust and Safety enforcement, building Chain-of-Thought policy logic, RCA and quality pipelines, and labeling strategies that ensure our automated systems are both accurate at scale and aligned with platform standards.
This role combines technical judgment, operational rigor, and policy intuition. You'll work closely with Engineering, Product, and Ops teams to manage how policy is embedded in model behavior, measured through our platform quality metrics, and improved through model iterations and targeted interventions. You’ll also ensure that policy changes—often made to improve human reviewer precision—are consistently iterated across all machine enforcement pathways, maintaining unified and transparent enforcement standards.
You will lead policy governance across four model enforcement streams central to TikTok’s AI moderation systems:
At-Scale Moderation Models (ML Classifiers)
- Own policy alignment and quality monitoring for high-throughput classifiers processing hundreds of millions of videos daily. These models rely on static training data and operate without prompt logic, requiring careful threshold setting, false positive/negative analysis, and drift tracking.
At-Scale AI Moderation (LLM/CoT-Based)
- Oversee CoT-based AI moderation systems handling millions of cases per day. Your team produces CoT, structured labeling guidelines, and dynamic prompts to interpret complex content and provide policy assessments. Your team will manage accuracy monitoring, labeling frameworks, and precision fine-tuning.
Model Change Management
- Ensure consistent enforcement across human and machine systems as policies evolve. You will lead the synchronization of changes across ML classifiers, AI models, labeling logic, and escalation flows to maintain unified, up-to-date enforcement standards.
Next-Bound AI Projects (SOTA Models)
- Drive development of high-accuracy, LLM-based models used to benchmark and audit at-scale enforcement. These projects are highly experimental and at the forefront of LLM-application in real-world policy enforcement and quality validation.
Qualifications
Minimum qualifications
5+ years of experience in Trust & Safety, ML governance, moderation systems, or related policy roles;
Experience managing or mentoring diverse, international teams;
Proven ability to lead complex programs with global stakeholders;
Strong understanding of AI/LLM systems, including labeling pipelines and CoT decision logic;
Comfort working with quality metrics, enforcement diagnostics, FP/FN tracking, RCAs, and precision-recall tradeoffs;
Self-starter with excellent judgment, capable of balancing multiple trade-offs to develop principled policies;
Persuasive communication skills to translate complex challenges into clear language and persuade cross-functional partners in a fast-paced environment;
Bachelor's or master's degree in AI, public policy, politics, law, economics, behavioral sciences, or related fields.
Preferred qualifications
Experience working in a startup or new team within an established company;
Experience in prompt engineering;
Business-level Mandarin skills are a plus due to coverage of the Chinese market and content.
About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. We have offices worldwide, including Los Angeles, Singapore, New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
We aim to create value for our communities, inspire creativity, and bring joy. We foster curiosity, humility, and impact, embracing challenges as opportunities to learn and innovate. Join us in creating and growing together.
Diversity & Inclusion
TikTok is committed to creating an inclusive environment where employees are valued for their skills, experiences, and perspectives. We celebrate diversity and strive to reflect the communities we serve.
Trust & Safety
Keeping our platform safe is rewarding but demanding work. We are committed to supporting our employees' wellbeing through comprehensive programs, ensuring a person-centered, innovative, and collaborative approach.
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