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

TikTok
San Jose
InternshipFunction: Research & Scientific (R&D)Education: phdSkills: ["Research","Programming","Algorithms","Data structures"]

Build and evaluate foundation-model driven advertising and recommendation systems for TikTok’s monetization products. Work on scaling laws, unified multimodal modeling, and intelligent ad placement optimized for long-term value (LTV) and long-term ROAS. Develop training and online inference frameworks that balance compute costs with low-latency performance, advancing large recommender and LLM research toward real-world deployment.

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FursaFursa
TikTok
TikTok
1 month ago

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

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Last checked: 21 hours agoStatus: Live

Job Summary

Build and evaluate foundation-model driven advertising and recommendation systems for TikTok’s monetization products. Work on scaling laws, unified multimodal modeling, and intelligent ad placement optimized for long-term value (LTV) and long-term ROAS. Develop training and online inference frameworks that balance compute costs with low-latency performance, advancing large recommender and LLM research toward real-world deployment.
Location: San Jose
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Explore scaling laws for foundation models in recommendation and advertising and build foundation models using unified multimodal semantic modeling.
  • •Develop an intelligent ad placement system optimized for user Long-Term Value (LTV) and long-term ROAS while balancing commercial value and user experience.
  • •Optimize end-to-end training and online inference for foundation models, balancing compute cost and real-time response latency in deployment.

Key Requirements

  • •Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • •Modeling experience in areas such as ads, search engines, recommender systems, or NLP/CV.
  • •Solid foundation in LLM-related algorithms, including practical experience applying and deploying single-modal LLMs.
  • •Strong programming abilities and command of data structures and fundamental algorithms; C/C++ for traditional coding and Python for intelligent coding roles.
  • •A strong publications record in top conferences is a plus (e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, ICCV, ECCV).
Experience:ResearchNatural language processingComputer visionRecommendationLLMs
Education:PhD / Doctorate in Computer Science or Computer Engineering (or related technical discipline)
Skills:ResearchProgrammingAlgorithmsData structures
Tech Stack:C/C++PythonLLMsLarge Language ModelsLarge Recommender ModelsLLM deploymentSingle-modal LLMRetrievalRankingAIGCBiddingMultimodal semantic modelingLong-Term Value (LTV)ROASCausal 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