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

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TikTok
Full Time position
Listed on 2026-07-31
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 212800 - 450000 USD Yearly USD 212800.00 450000.00 YEAR
Job Description & How to Apply Below
Position: Applied Scientist - Business Integrity - Global Frontier Tech Recruitment Program - 2027 Start [...]

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

San Jose

Employment Type

Regular

Job Code

A65238

Share this listing 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 Tik Tok in the world, we are working on building a next-generation content understanding system for Tik Tok 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, multi languages, 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:

    1. Individuals who are completing or have recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • 2. Modeling experience in one or more of the areas:
    Ads, Search engine, Recommender System, NLP/CV, multimodal, agent technologies.
  • 3. 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.
  • 4. Strong publications record in top conferences (e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, NCVPR, ICCV, and ECCV)
Job Information

The base salary range for this position in the selected city is $212800 - $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
  • 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).

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…

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