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

TikTok Inc.; San Jose (CA); In loco; USD 55.000 - 96.000; Tempo pieno

Descrizione del lavoro

TikTok Inc. is seeking PhD interns in 2027 to contribute to next-generation moderation and content understanding systems. The role emphasizes scalable ML models, interpretable reasoning, and cross‑disciplinary collaboration with global teams to enhance user experience and advertiser value.

The internship blends hands-on learning with development events, and opportunities to work on challenging moderation scenarios with evolving rules and multilingual content.

Competenze

• Currently pursuing a PhD in a technical discipline.
• Modeling experience in ads, search, recommender systems, NLP/CV, multimodal or agent technologies.
• Solid foundation in LLM-related algorithms and deployment.
• Strong publications in top conferences (ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR/ICCV/ECCV).

Mansioni

• Build a leading moderation system enabling end‑to‑end, automated decisions.
• Provide interpretable reasoning and intelligent remediation capabilities.
• Collaborate with global teams to advance content understanding for monetization.

Conoscenze

Ads modeling

Search modeling

Recommender systems

NLP/CV

Multimodal

Agent technologies

Formazione

PhD in Software Development, CS, CE, or related

Descrizione del lavoro

Responsibilities

We are looking for talented individuals to join us for an internship in 2027. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

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:

• Currently pursuing 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)