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

TikTok; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

TikTok is hiring for an Applied Scientist position in Singapore, where successful candidates will build scalable machine learning models and work on enhancing content moderation methods. This role requires a PhD in Software Development or a related field, with experience in modeling for areas such as NLP, ads, and recommender systems. Candidates should have a strong publication record in top-tier conferences. The position promises an engaging environment focused on technical excellence and user satisfaction.

Qualifications

• Candidates must have a PhD in a technical field related to software or computer science.
• Experience with modeling in fields such as NLP or agent technologies is necessary.
• A strong track record in high-impact academic publications is required.

Responsibilities

• Develop scalable machine learning models and collaborate across disciplines.
• Engage in innovative problem-solving to enhance content moderation capabilities.
• Meet users’ needs by building reliable platforms and services.

Skills

Modeling experience

Algorithm knowledge related to LLMs

Publication record in top conferences

Understanding of Ads, Search engine, Recommender Systems

Education

PhD in Software Development, Computer Science, or related field

Job description

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 Applied Scientists 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.

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 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.

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 such as ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, ICCV, and ECCV.