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

Applied Scientist - Business Integrity - Global Frontier Tech Recruitment Program - 2027 Start (PhD) Location: San Jose Employment Type: Regular Job Code: A65238 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 at our company. Successful candidates must be able to commit to an onboarding date by the 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. We are working on building a next‑generation content understanding system for TikTok monetization. We are seeking research engineers experienced in machine learning to help 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. 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. Existing open‑source large models often do not perform as effectively 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. 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 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 publication 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 $212,800 - $450,000 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, well‑being benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of paid personal time (pro‑rated 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; Exercising sound judgment. 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. Reasonable Accommodation TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at #J-18808-Ljbffr TikTok