Responsibilities 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. Qualifications Minimum Qualifications - Deep understanding of recommendation systems, ranking algorithms, and content distribution pipelines at scale. - Proficiency in Python, SQL, and data analysis; experience with ML frameworks (e.g., PyTorch, TensorFlow) and experimentation platforms. - Solid understanding and practical experience in Global regulations (e.g., DSA, OSA, GDPR, AI Governance Act), including practical experience in their application. - Proven track record in successfully developing, implementing, and managing comprehensive compliance programs at scale with experience engaging directly with regulators, external auditors, or supervisory bodies on algorithmic or AI compliance matters. - Strong foundational understanding of leading cybersecurity frameworks (e.g., NIST, ISO 27001) and robust control environments. - Exceptional analytical, critical thinking, and problem-solving skills, coupled with the ability to translate complex legal and technical concepts into clear, actionable advice for diverse technical and non-technical audiences. - Demonstrated ability to work independently, effectively manage multiple competing priorities, and thrive in a fast-paced, dynamic, and often ambiguous environment. Preferred Qualifications - Bachelor's degree in Law, Computer Science, Information Security, Business Administration, or a closely related field. - Minimum of 3 years of progressive experience in governance, risk, and compliance (GRC) roles, with a demonstrable strong focus on cybersecurity and IT compliance. - Industry experience in technology or social media. - Relevant professional certifications such as CISA, CISM, CRISC, CISSP, or CIPP/E. - Familiarity with the unique challenges and opportunities related to algorithmic governance, fairness, and transparency in large-scale online platforms. Job Information [For Pay Transparency]Compensation Description (Annually) The base salary range for this position in the selected city is $111600 - $180000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.