Applied Scientist - Business Integrity - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

TikTok Inc.; San Jose (CA); Presencial; USD 218.000 - 480.000; Jornada completa

Descripción de la vacante

TikTok Inc. is seeking talented researchers to join our team in 2027, focusing on building a next-generation moderation system for scalable content understanding and advertiser value.

This graduate-level role emphasizes ML engineering, cross-disciplinary collaboration, and delivering automated moderation with interpretable reasoning. The team prioritizes robust models, global collaboration, and high-performance platforms, offering meaningful growth as you tackle evolving moderation challenges

Formación

• PhD in Software Development, Computer Science, Computer Engineering, or related technical discipline.
• Modeling experience in Ads, Search engine, Recommender System, NLP/CV, multimodal, agent technologies.
• Strong publications record in top conferences (e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, N CVPR, ICCV, ECCV)

Responsabilidades

• In this role, you will build a leading moderation system that enables end-to-end capabilities for accurate rejection decisions, interpretable reasoning, and intelligent remediation.
• Achieving fully automated moderation with performance surpassing human benchmarks.

Educación

PhD in Software Development, Computer Science, Computer Engineering, or related technical discipline

Descripción del empleo

Responsibilities

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.

Team Introduction: Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking Research Engineers who are experienced in machine learning, which can help us create an ecosystem that rewards high-quality user experience and advertiser value.

Topic Content: With the explosive growth of digital content, intelligent moderation has become a core capability for internet platforms. However, as moderation scenarios grow increasingly complex and adversarial tactics continue to evolve, traditional approaches are facing unprecedented challenges. The current landscape is characterized by multiple technical difficulties, including the dynamic nature of moderation rules, content complexity, sample scarcity, escalating adversarial behaviors, and a lack of interpretability. In particular, existing open-source large models often do not perform as effective as we expect in scenarios involving evolving moderation rules, long-form text, long temporal sequences, multilanguages, limited sample data, and adversarial content generated by AIGC.

Responsibilities:

In this role, you will build a leading moderation system that enables end-to-end capabilities for accurate rejection decisions, interpretable reasoning, and intelligent remediation, achieving fully automated moderation with performance surpassing human benchmarks.

Qualifications

Minimum Qualifications:

• Individuals who are completing or have recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Modeling experience in one or more of the areas: Ads, Search engine, Recommender System, NLP/CV, multimodal, agent technologies.
• Have a solid foundation in algorithms related to LLMs, including but not limited to comprehensive learning and practical experience in areas such as single-modal LLM application and deployment.
• Strong publications record in top conferences (e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, N CVPR, ICCV, and ECCV)

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $218400 - $480000 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:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.