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

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: phdSkills: []

Work on TikTok’s next-generation monetization platform, focusing on core global advertising scenarios. Use foundation-model research to advance large recommender models and LLM-driven advertising, including unified multimodal modeling, retrieval/ranking, AIGC content generation, and bidding. Build intelligent ad placement optimized for long-term value (LTV) and long-term ROAS, and develop training plus real-time inference frameworks that balance compute cost and latency for real-world deployment.

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FursaFursa
TikTok
TikTok
1 month ago

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

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Job Summary

Work on TikTok’s next-generation monetization platform, focusing on core global advertising scenarios. Use foundation-model research to advance large recommender models and LLM-driven advertising, including unified multimodal modeling, retrieval/ranking, AIGC content generation, and bidding. Build intelligent ad placement optimized for long-term value (LTV) and long-term ROAS, and develop training plus real-time inference frameworks that balance compute cost and latency for real-world deployment.
Location: San Jose
Workplace: Onsite
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 a foundation model using unified multimodal semantic modeling.
  • •Develop an intelligent ad placement system optimized for users’ long-term value (LTV) and long-term ROAS while balancing monetization and user experience.
  • •Optimize full-process training and online inference frameworks for foundation models, balancing compute cost with real-time response performance.
  • •Resolve performance-latency trade-offs for real-world deployment.
  • •Advance generative technologies across search, recommendation, and advertising scenarios using TikTok’s monetization products.

Key Requirements

  • •Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • •Modeling experience in Ads, search engines, recommender systems, and/or NLP/CV.
  • •Strong algorithms foundation related to LLMs, including practical experience with single-modal LLM application and deployment.
  • •Solid ability to conduct and publish research with a strong publication record at top conferences.
  • •State your availability and graduation date in your resume, with an onboarding commitment by the end of 2027.
Education:PhD / Doctorate
Tech Stack:LLMsLarge Language ModelsFoundation modelsLarge Recommender ModelsUnified multimodal modelingRetrievalRankingAIGCBiddingIntelligent ad placementCausal inferenceUltra-long sequence modeling

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