Responsibilities

Our Trust and Safety RD team is fast-growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts of our team, TikTok can provide the best user experience and bring joy to everyone in the world. We are looking for people like you with solid experience in designing and deploying state-of-the-art models in the combination of NLP and CV-related areas. This position will work with a team of excellent research scientists and machine learning engineers who can take initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. Responsibilities - What You'II Do Job Responsibilities 1. Build efficient content recognition models for critical scenarios such as CSAM (Child Safety), CBS (Cross-border Sync), and Misinformation, to enhance the automation capability of content moderation. 2. Address challenges in cross-lingual, multimodal, and low-resource environments to improve model generalization under complex compliance constraints. 3. Collaborate with Recommendation, Policy, and Product teams to develop joint safety strategies, enabling flexible governance from content recognition to traffic control. 4. Participate in the full-stack development process-from data curation and strategy modeling to model deployment-to continuously improve system response speed and compliance granularity.

Qualifications

Minimum Qualifications: 1. Experience in multimodal algorithm development, with exposure to large model applications in real-world scenarios; familiarity with content moderation tasks; modeling experience in safety or compliance domains is preferred. 2. Strong understanding of compliance-driven requirements, with the ability to abstract policy needs and translate them into practical technical solutions. 3. Skilled in cross-functional collaboration, capable of driving joint policy design and integrated system implementation. Preferred Qualifications: - Publications in top conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV) or experience in competitive AI challenges. - Highly responsible and self-motivated, with a strong interest in content safety technology and the ability to adapt to the fast-evolving landscape of risk governance.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $244800 - $450000 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.