Responsibilities

TikTok's Content Ecosystem team is responsible for the health and prosperity of content users and creators to improve DAU in the long term. Our team deeply dives into the following fields: tracking the whole content ecosystem and finding potential challenges and opportunities; cooperating closely with the RD team on model recognition, content understanding, and algorithms, targeting to balance the traffic in different formats, optimize traffic distribution, content diversifications, creator experience of moderation, user experience of interactions, and more problems. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computer science, statistics, information management, data science or a related discipline. Responsibilities: - Responsible for the governance of TikTok short videos or comment ecosystem, deeply understand content, business data and user requirements, and establish a governance evaluation framework; - Through qualitative and quantitative analysis, content risks are explored from multiple perspectives including users, creators and the platform, and vague signals are converted into clear problem definitions and quantifiable objectives; - Explore and apply large language models(LLMs) and other AI technologies to enhance content understanding and risk identification capabilities, and translate model insights into scalable governance strategies and operational workflows.

Qualifications

Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computer science, statistics, information management, data science or a related discipline; - Good content comprehension ability, excellent communication, collaboration and documentation skills, resilience, sense of responsibility, and the ability to identify key points to solve complex problems; Preferred Qualifications: - Candidates with experience in AI large model projects or relevant internships are preferred; - Familiarity with global markets or cross-cultural environments.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $76000 - $128000 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.