Applied Scientist: Monetization AI for Next-Gen Ads

TikTok; San Jose (CA); On-site; USD 212,800 - 450,000; Full time

Job summary

TikTok is seeking an Applied Scientist for Monetization Technology under the Global Frontier Tech Recruitment Program, starting in 2027, based in San Jose, CA. The role focuses on building next‑generation monetization platforms by integrating foundation models with advertising, search, and recommendations.

Responsibilities include researching scaling laws for foundation models, designing an intelligent ad placement system optimized for user value and ROAS, and refining the full‑stack training

Qualifications

• PhD in Computer Science, Computer Engineering, or a related discipline.
• Modeling experience in Ads, Search, Recommender Systems, or NLP/CV.
• Solid foundation in algorithms related to LLMs and practical deployment.

Responsibilities

• Explore scaling laws for foundation models in recommendation and advertising.
• Build an intelligent ad placement system optimizing long-term value and ROAS.
• Optimize training and online inference frameworks for foundation models, balancing cost and latency.

Skills

Recommender systems

NLP

Ads

CV

LLMs

Education

PhD in Computer Science/Engineering

Tools

Python

C/C++

Job description

TikTok is seeking an Applied Scientist for Monetization Technology under the Global Frontier Tech Recruitment Program, starting in 2027, based in San Jose, CA. The role focuses on building next‑generation monetization platforms by integrating foundation models with advertising, search, and recommendations.

Responsibilities include researching scaling laws for foundation models, designing an intelligent ad placement system optimized for user value and ROAS, and refining the full‑stack training