The mission of TikTok's Global Security Organization is to build and earn trust by reducing risk and securing our businesses and products. Also known as "GSO", this team is the foundation of our efforts to keep TikTok safe, secure, and operating at scale for over 1 billion people around the world. We work to ensure that the TikTok platform is safe and secure, that our users' experience and their data remains safe from external or internal threats, and that we comply with global regulations wherever TikTok operates.
Trust is one of TikTok's biggest initiatives, and security is integral to our success. In whatever ways users interact with us — whether they're watching videos on their For You page, interacting with a Live video, or buying products on TikTok Shop — GSO protects their data and privacy, so they can have a secure and trustworthy experience.
The GSO provides industry-leading security and privacy services to company, guided by four principles: trust and transparency, business enablement, risk-informed decision-making, and proactive risk reduction. We strive to build sustainable, world-class security capabilities.
TikTok is seeking an Algorithm Assurance Technical Specialist to drive the technical assurance of our content recommendation and AI systems, ensuring they operate safely, fairly, and in compliance with evolving regulatory frameworks such as the DSA, GDPR, ISO, OSA, etc. This role sits at the intersection of engineering, policy, and governance — translating regulatory obligations into concrete algorithmic controls and providing expert input into regulatory engagement.
Responsibilities
Content Assurance
- Lead the design and implementation of algorithmic assurance frameworks for content recommendation and distribution systems.
- Evaluate content system behavior including reach, diversity, amplification patterns, and edge-case performance.
- Build automated monitoring and audit tooling to continuously validate that content algorithms perform within defined safety and quality bounds.
AI System Assurance
- Establish and maintain a model and algorithm governance lifecycle — from design review and pre-deployment testing to post-deployment monitoring and incident response.
- Develop and enforce standards for algorithmic transparency, explainability, and fairness across AI systems, including large-scale recommendation models and generative AI components.
- Design and execute systematic risk assessments for AI systems in production.
- Partner with ML engineering teams to embed assurance controls directly into model training, evaluation, and serving infrastructure.
- Lead incident classification and response for algorithmic failures or undesired emergent behaviors.
Regulatory Input & Compliance
- Translate regulatory requirements into actionable engineering specifications, test plans, and evidence artifacts.
- Provide expert algorithmic input and recommendations to Legal, Public Policy, and Government Relations teams for regulatory engagement, consultations, and responses to supervisory authority inquiries.
- Represent the organization in technical discussions with regulators, auditors, and industry bodies on algorithmic assurance topics.
Leadership & Cross-Functional Collaboration
- Mentor the team of algorithm assurance engineers and analysts.
- Collaborate with Product, Engineering, Trust & Safety, Legal, and Policy stakeholders to align assurance priorities with business and compliance objectives.
- Drive the development of internal assurance standards, playbooks, and reusable tooling that scale across products and geographies.
- Establish and chair an algorithm review board or equivalent governance forum for high-risk algorithm changes.
