2 days ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

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

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

TikTok

2 days ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

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

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn