Applied Scientist - Monetization Technology - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

TikTok
San Jose
Full timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Research","Programming","Algorithmic thinking","Data modeling"]

Build next-generation monetization platforms for ads by integrating foundation models with TikTok’s advertising business. Research and develop large recommender and large language model approaches for search, recommendation, and advertising, including scaling laws, unified multimodal modeling, and generative components. Develop intelligent ad placement systems optimizing long-term user value and ROAS, and improve full-process training plus online inference to balance cost and low-latency performance.

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TikTok
TikTok
1 month ago

Applied Scientist - Monetization Technology - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

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Last checked: 8 hours agoStatus: Live

Job Summary

Build next-generation monetization platforms for ads by integrating foundation models with TikTok’s advertising business. Research and develop large recommender and large language model approaches for search, recommendation, and advertising, including scaling laws, unified multimodal modeling, and generative components. Develop intelligent ad placement systems optimizing long-term user value and ROAS, and improve full-process training plus online inference to balance cost and low-latency performance.
Location: San Jose
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Graduate level

Key Responsibilities

  • •Explore scaling laws for foundation models in recommendation and advertising, and build unified multimodal foundation models.
  • •Develop intelligent ad placement systems optimized for Long-Term Value (LTV) and long-term ROAS while balancing user experience and commercial value.
  • •Optimize full-process training and online inference frameworks for foundation models, balancing compute cost and real-time response latency.

Key Requirements

  • •Completing or recently completed a PhD in Computer Science, Computer Engineering, or related technical discipline.
  • •Modeling experience in areas such as Ads, search engines, recommender systems, and NLP/CV.
  • •Strong algorithm foundation for LLMs, including single-modal LLM application and deployment.
  • •Programming strength with data structures and fundamental algorithms; C/C++ for traditional coding roles or Python for intelligent coding roles.
  • •Strong publications record in top conferences is a plus.
Education:PhD / Doctorate in Computer Science, Computer Engineering, or a related technical discipline
Skills:ResearchProgrammingAlgorithmic thinkingData modeling
Tech Stack:LLMsLarge Language ModelsFoundation modelsLarge Recommender ModelsMultimodal semantic modelingRetrievalRankingAIGCCausal inferencePythonC/C++

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn