Applied Scientist - Content Moderation & Integrity

TikTok Inc.; San Jose (CA); On-site; USD 218,000 - 480,000; Full time

Job summary

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

Qualifications

• 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)

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.

Education

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

Job description

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